Relevant bibliographies by topics / "Sentiment Analysis in E-Commerce

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic '"Sentiment Analysis in E-Commerce'

Author: Grafiati
Published: 7 June 2025
Last updated: 11 July 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic '"Sentiment Analysis in E-Commerce.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic ""Sentiment Analysis in E-Commerce"

1

Mehta, Niyati, Minakshi Mane, Prathamesh Satpute, Aishwarya Mahale, and Shivshankar Bhutekar. "Sentiment Analysis for E-Commerce." International Journal for Research in Applied Science and Engineering Technology 11, no. 4 (2023): 2891–95. http://dx.doi.org/10.22214/ijraset.2023.50834.

Full text
Abstract:
Abstract: The rise of e-commerce has brought about new challenges in understanding customers; needs and preferences. One of the ways to better understand customers is to analyse their feedback on products and services. Sentiment analysis is a powerful tool that can be used to gain insights into customers&; opinions and emotions towards products and services. The proposed project, "Happy Shopping" is an application that uses sentiment analysis to analyse customer feedback on products and services. The interface will display a summary of the most common sentiments expressed by customers for each product or service. This will enable customers to make more informed buying decisions based on the sentiments expressed by other customers. In conclusion, the "Happy Shopping" project aims to leverage sentiment analysis to enhance the customer experience in an e-commerce platform. The project will provide customers with valuable insights into other customers; sentiments towards products and services, as well as improve customer support services.
APA, Harvard, Vancouver, ISO, and other styles
2

Alsaedi, Tahani, Muhammad Rizwan Rashid Rana, Asif Nawaz, Ammar Raza, and Abdulrahma Alahmadi. "Sentiment Mining in E-Commerce." International journal of electrical and computer engineering systems 15, no. 8 (2024): 641–50. http://dx.doi.org/10.32985/ijeces.15.8.2.

Full text
Abstract:
Sentiment analysis is crucial for comprehending customer feedback and enhancing workplace culture, as well as improving products and services. By employing natural language processing (NLP) techniques to meticulously analyze this feedback, organizations can identify specific areas that require improvement, address employee issues, and cultivate a positive work environment. These deep learning models powered by NLP offer invaluable tools for HR and sales departments in the e-commerce sector, enabling them to track sentiment trends among employees and users over time and implement targeted interventions. Focusing on the e-commerce industry, this study employs NLP-driven deep learning methodologies to analyze both employee and user feedback, with the objective of identifying underlying sentiments. The proposed framework leverages these advanced techniques to categorize user feedback into positive, negative, or neutral sentiments. This approach aims to develop a robust and effective system for sentiment analysis, providing significant insights that can help drive organizational improvements and enhance customer satisfaction. The key steps of this framework include data collection, NLP-enhanced feature extraction, sentiment detection, and final classification using finite-state automata. The effectiveness of this NLP-centric approach was tested on diverse datasets of customer feedback collected from an e-commerce industry. Evaluation metrics such as accuracy, precision, and recall were utilized to assess the performance of the system. The results demonstrate the effectiveness of the proposed framework, achieving a 93.75% accuracy rate and surpassing existing benchmark methods. The outcomes of this study are particularly consequential for the e-commerce sector, offering them a strategic advantage in refining their product portfolios and cultivating a more dynamic workplace culture
APA, Harvard, Vancouver, ISO, and other styles
3

Gayki, Miss Yashashri, Mr Pratham Chatke, Miss Rani Nandane, et al. "A Survey on “Sentiment Analysis of E-commerce Website’s Reviews”." International Journal for Research in Applied Science and Engineering Technology 11, no. 10 (2023): 1627–31. http://dx.doi.org/10.22214/ijraset.2023.56255.

Full text
Abstract:
Abstract: Sentiment analysis, a vital component of natural language processing, has gained significant relevance in the realm of ecommerce websites. In this digital age, where consumers heavily rely on online reviews to inform their purchase decisions, understanding and harnessing sentiment in ecommerce reviews is paramount. This abstract explores the utilization of sentiment analysis techniques to extract valuable insights from customer feedback, offering a panoramic view of its applications, challenges, and implications. We delve into keyword extraction, sentiment polarity classification, and the integration of sentiment analysis into recommendation systems. This paper also examines the evolving role of sentiment analysis in enhancing user experiences, brand reputation management, and product development. By decoding the sentiments hidden within ecommerce website reviews, businesses can strategically adapt, improve customer satisfaction, and thrive in a highly competitive online marketplace
APA, Harvard, Vancouver, ISO, and other styles
4

Abighail, Be Muhammad Doohan, Fachrifansyah, Muhammad Reyhan Firmanda, Maria Susan Anggreainy, Harvianto, and Gintoro. "Sentiment Analysis E-commerce Review." Procedia Computer Science 227 (2023): 1039–45. http://dx.doi.org/10.1016/j.procs.2023.10.613.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Kusuma, Ikhsan Habib, and Nuri Cahyono. "Analisis Sentimen Masyarakat Terhadap Penggunaan E-Commerce Menggunakan Algoritma K-Nearest Neighbor." Jurnal Informatika: Jurnal Pengembangan IT 8, no. 3 (2023): 302–7. http://dx.doi.org/10.30591/jpit.v8i3.5734.

Full text
Abstract:
Abstract − E-commerce's rapid growth has resulted in an increase in online transactions and shifts in consumer behavior. In Indonesia, the use of e-commerce has grown rapidly, with many online platforms emerging. Understanding public sentiment towards e-commerce in Indonesia is crucial for businesses to improve their services and maintain customer satisfaction. In this review, study propose a methodology for feeling investigation of popular assessment on the utilization of web-based business in Indonesia, utilizing directed learning calculations. The study involved collecting data from the website Google Play Store. The study performed data preprocessing, including removing stop words, tokenization, and stemming, before applying the K-Nearest Neighbor (K-NN) algorithm to classify sentiments into positive or negative. The evaluation was conducted using confusion matrix and classification report. The results showed that the proposed approach was effective in analyzing public sentiment towards e-commerce in Indonesia, with an accuracy rate of 82%. The study concluded that the proposed strategy could help businesses enhance their services and better satisfy customers' requirements and expectations.Keywords – Sentiment Analysis, E-Commerce, Supervised Learning, Machine Learning, NLP, KNN. Abstrak - Perkembangan e-commerce yang pesat telah menyebabkan peningkatan transaksi online dan perubahan perilaku konsumen. Di Indonesia, penggunaan e-commerce tumbuh pesat dengan banyak platform online bermunculan. Memahami sentimen masyarakat terhadap e-commerce di Indonesia sangat penting bagi bisnis untuk meningkatkan layanan dan menjaga kepuasan pelanggan. Oleh karena itu, dalam penelitian ini peneliti mengusulkan sebuah pendekatan untuk melakukan analisis sentimen opini publik mengenai penggunaan salah satu e-commerce di Indonesia dengan menggunakan algoritma K-Nearest Neighbor. Pengumpulan data dilakukan dari website Google Play Store dengan tujuan untuk memperoleh pandangan dan pengalaman masyarakat terkait penggunaan salah satu e-commerce di Indonesia. Setelah data terkumpul, dilakukan proses preprocessing untuk membersihkan data, termasuk menghilangkan stopwords, tokenisasi, dan stemming. Setelah itu, algoritma K-Nearest Neighbor (K-NN) digunakan untuk mengklasifikasikan sentimen menjadi positif atau negatif. Evaluasi dilakukan dengan menggunakan confusion matrix dan classification report untuk menilai keakuratan algoritma. Hasil penelitian menunjukan bahwa pendekatan yang diusulkan efektif dalam menganalisis sentimen masyarakat terhadap e-commerce di Indonesia, dengan tingkat akurasi 82%. Penelitian ini memiliki implikasi penting bagi bisnis e-commerce di Indonesia dalam meningkatkan layanan dan memenuhi kebutuhan serta harapan pelanggan secara lebih baik.Kata Kunci - Sentimen Analisis, E-Commerce, Supervised Learning, Machine Learning, NLP, KNN.
APA, Harvard, Vancouver, ISO, and other styles
6

N, Bagiyalakshmi, and A. C. Kothandaraman. "Optimized Deep Learning Model for Sentimental Analysis to Improve Consumer Experience in E-Commerce Websites." Journal of Computer Allied Intelligence 2, no. 3 (2024): 41–54. http://dx.doi.org/10.69996/jcai.2024014.

Full text
Abstract:
Sentiment analysis plays a pivotal role in deciphering customer sentiments from vast amounts of unstructured data, particularly in the context of e-commerce where customer reviews are prolific. The evolution of e-commerce reviews toward a multimodal format, including images, videos, and emojis, introduces new dimensions to sentiment analysis. Traditional text-based models may struggle to effectively capture sentiments expressed through non-textual elements. This paper proposed an effective sentiment analysis model for the E-Commerce Platform to improve the user consumer experience. The proposed method comprises Fejer Kernel filtering for data points estimation in the E-commerce dataset points. Within the estimated data points fuzzy dictionary-based semantic word feature extraction is performed for the estimation of features in the E-Commerce dataset. The dataset for the analysis is computed with the Optimized Stimulated Annealing for the feature extraction and selection. The classification of customer opinion is classified with the BERT deep learning model. The feature extracted from the model is the opinion of consumers in the E-Commerce dataset. The classification of consumer preference experience is based on opinion of customers in the E-commerce dataset. Simulation results demonstrated that proposed model achieves the higher classification accuracy for the E-Commerce platform.
APA, Harvard, Vancouver, ISO, and other styles
7

Jiang, Tingyao, Wei Sun, and Min Wang. "MSGAT-Based Sentiment Analysis for E-Commerce." Information 14, no. 7 (2023): 416. http://dx.doi.org/10.3390/info14070416.

Full text
Abstract:
Sentence-level sentiment analysis, as a research direction in natural language processing, has been widely used in various fields. In order to address the problem that syntactic features were neglected in previous studies on sentence-level sentiment analysis, a multiscale graph attention network (MSGAT) sentiment analysis model based on dependent syntax is proposed. The model adopts RoBERTa_WWM as the text encoding layer, generates graphs on the basis of syntactic dependency trees, and obtains sentence sentiment features at different scales for text classification through multilevel graph attention network. Compared with the existing mainstream text sentiment analysis models, the proposed model achieves better performance on both a hotel review dataset and a takeaway review dataset, with 94.8% and 93.7% accuracy and 96.2% and 90.4% F1 score, respectively. The results demonstrate the superiority and effectiveness of the model in Chinese sentence sentiment analysis.
APA, Harvard, Vancouver, ISO, and other styles
8

Bakhsh, Pir, Muhammad Ismail, Muhammad Asif Khan, Muhammad Ali, and Raheel Ahmed Memon. "Optimisation of Sentiment Analysis for E-Commerce." VFAST Transactions on Software Engineering 12, no. 3 (2024): 243–62. http://dx.doi.org/10.21015/vtse.v12i3.1907.

Full text
Abstract:
Sentiment analysis is widely used today to make data-driven decisions in different industries, starting from marketing and including brand management, reputation monitoring, and customer satisfaction analysis. Its growing importance is closely linked with so-called ‘word-of-mouth’ communication, from reading online reviews to writing comments on social networks. Effective separation of sentiments ensures that companies' responses are timely and critical patterns are seen in big data sets. Statistical measures, information gain, correlation-based approaches, etc, have been employed for the feature selection. Still, the problem associated with text data mining is that they don’t convey the text's relative difficulty and additional features. To fill this gap, our research proposes a new feature selection technique through Ant Colony Optimization (ACO) and K Nearest Neighbour (KNN) performed on 28,000 customer reviews in different product categories. The results, therefore, showed an overall accuracy of 80.1%, with the Support Vector Machine (SVM) set at 80.5% on each selected feature, which was slightly higher than the Convolutional Neural Network (CNN), which scored a 78.41% accuracy. SVM remains on the mark of 83%, and for CNN, the rate achieved on the same was 80.8% when both were applied to the entire dataset. These facts rejected the infallibility of the simple and complex algorithms used singly in the sentiment classification, indicating that more sophisticated algorithms like ACO and KNN can provide business solutions to improve their service delivery based on customers’ feedback.
APA, Harvard, Vancouver, ISO, and other styles
9

Chen, Xi, and Hag-Min Kim. "Consumer Feedback Analysis Using LDA Approach in Cross-border E-commerce." Journal of Korea Trade 28, no. 2 (2024): 77–102. http://dx.doi.org/10.35611/jkt.2024.28.2.77.

Full text
Abstract:
Purpose - The objective of this research is to gain insight into consumer feedback regarding cross-border e-commerce, which is a pivotal avenue for companies venturing into global markets. It seeks to investigate the variety of themes present in consumer feedback in order to gain a more profound understanding of their preferences and concerns, ultimately influencing future market strategies. Design/Methodology – The present study utilizes an extensive collection of textual online evaluations and a text-mining LDA framework to analyze and classify potential themes in consumer feedback pertaining to cross-border e-commerce platforms. By quantifying the sentiment tendencies in consumer-related comments, sentiment analysis models that rely on emotion dictionaries as a foundation identify the polarity and intensity of emotions. Findings – The present study examined 1,500 consumer evaluations pertaining to Korean cosmetic products, sourced from a cross-border platform in Southeast Asia. The analysis unveiled five key subjects frequently referenced in consumer feedback. A subsequent sentiment analysis revealed that a significant proportion of consumer sentiments were positive. Nevertheless, consumers identified certain concerns in the minority of negative reviews, including packaging and delivery, product quality, and the absence of freebies. Originality/value - In a practical sense, this provides significant ramifications for the optimization of consumer experiences and the development of successful market strategies in the ever-changing global marketplace. This is especially advantageous for organizations striving for success in the fiercely competitive cross-border e-commerce industry. This study exceeds conventional survey methods in its methodology by offering more comprehensive and datacentric understandings of consumer attitudes and behaviors.
APA, Harvard, Vancouver, ISO, and other styles
10

Simran, Sethi. "AI-Powered Sentiment Analysis in E-Commerce." International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences 10, no. 3 (2022): 1–8. https://doi.org/10.5281/zenodo.15029793.

Full text
Abstract:
With the growth of the e-commerce sphere, analysing clients’ customer reviews and social media impressions have been termed as one of the most important tools of business – sentiment analysis – the process of extracting and understanding the inner meaning of emotions expressed in text. This piece discusses different techniques of AI based sentiment analysis in e-commerce lexicon based, Machine learning, deep and transformer neural networks. A review of major applications is provided such as real-time sentiment analysis, categorization, recommendation systems, and enhancement of product design. The authors also summarize practical experiences while developing a tweet-sentiment scoring tool for Snapdeal, analysing what issues still need to be tackled and what directions are possible for further development.
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic ""Sentiment Analysis in E-Commerce"

1

Kavaliauskas, Vytautas. "Nuomonių analizės taikymas komentarams lietuvių kalboje." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2011. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2011~D_20110615_130252-94422.

Full text
Abstract:
Pastaruosius keletą metų, žmonėms vis aktyviau pradėjus reikšti savo požiūrį, įsitikinimus ir potyrius internete, susiformavo nauja tyrinėjimų sritis, kuri apima nuomonių gavybą ir sentimentų analizę. Šios srities tyrinėjimus aktyviai skatina ir jais domisi įvairios verslo kompanijos, matančios didelį, dėka nuolat tobulėjančių rezultatų, praktinį potencialą. Šis darbas skirtas apžvelgti teorinius bei praktinius nuomonės gavybos ir sentimentų analizės rezultatus bei realizuoti prototipinę nuomonės analizės sistemą, skirtą tyrinėti trumpus komentarus, parašytus lietuvių kalba. Taip pat darbe aprašomos problemos, susijusios su lietuvių kalbos taikymu nuomonės gavybos ir sentimentų analizės sistemų veikloje. Galiausiai, baigiamojoje dalyje suformuluojami ir išdėstomi rekomendacinio pobūdžio etapai, skirti nuomonės analizės sistemų kūrimui bei tobulinimui.<br>In past few years, more and more people started to express their views, beliefs and experiences on the Internet. This caused the emergence of a new research field, which includes opinion mining and sentiment analysis. Various business companies are actively interested in researches of this domain and seeing big potential for practical adaptation of the results. This Master Thesis covers the review of theoretical and practical results of opinion mining and sentiment analysis, including attempt of creating prototype system for opinion analysis of comments in Lithuanian. Also this study aims to identify problems related to adaptation of Lithuanian language in opinion mining and sentiment analysis system work. Finally, last part contains of the formulated guidance steps for development and improvement of the opinion mining and sentiment analysis.
APA, Harvard, Vancouver, ISO, and other styles
2

Pessato, Luca <1990&gt. "Social Media e Sentiment Analysis." Master's Degree Thesis, Università Ca' Foscari Venezia, 2016. http://hdl.handle.net/10579/9137.

Full text
Abstract:
La tesi cerca di spiegare in che modo le nuove tecnologie e gli strumenti del web riescano ad influenzare i comportamenti e le opinioni di chi li utilizza, dagli utenti alle aziende di tutto il mondo. Si introdurranno i nuovi metodi per analizzare e capire il sentiment generato da ciò che viene scritto e pubblicato sui principali social media. Si definiranno inizialmente i concetti di internet e rivoluzione web 2.0, spiegando quali cambiamenti essi hanno portato nella società e qual’ è stata l’evoluzione e la crescita nel tempo. Successivamente si descriveranno i Social Media, concentrando l’attenzione sulla loro diffusione globale e su quali piattaforme web assumano più importanza all’interno di questo insieme. Si elencheranno quelli di maggior impatto e successo tra gli utenti e le aziende, esplicitandone le differenti caratteristiche e i metodi di utilizzo. In seguito si analizzeranno i maggiori cambiamenti in ambito strategico, che le imprese hanno adottato con il boom del web e dei social, con riferimento al nuovo modo di interazione tra produttore e consumatore, e su quale sia l’approccio migliore per avere successo on line. Il Social Media Mining e la Sentimet Analysis saranno spiegati in dettaglio, concentrando l’attenzione su come essi possano essere sfruttati per ottenere conoscenza da dati grezzi e da testi scritti, contenenti informazioni importanti sui comportamenti delle persone e sulle loro opinioni spontanee. Si esporranno i procedimenti di queste recenti metodologie, che servono per analizzare, sia quantitativamente che qualitativamente, come le persone si comportano e cosa pensano di un determinato argomento, prodotto o servizio. Si capirà, infine, come le azioni degli utenti e le informazioni che si possono trovare in internet abbiano assunto e assumeranno in futuro una notevole importanza per l’analisi dei dati e le imprese, poiché essi rappresentano la vera ricchezza del web.
APA, Harvard, Vancouver, ISO, and other styles
3

Semeraro, Greta <1992&gt. "Sentiment Analysis e reputazione online. Il caso dell'hotellerie veneziana." Master's Degree Thesis, Università Ca' Foscari Venezia, 2018. http://hdl.handle.net/10579/12684.

Full text
Abstract:
Dai primi anni 2000, con lo sviluppo esponenziale del Web e dei social media, è stata prodotta una enorme mole di dati testuali in formato digitale. Questi contenuti di tipo user generated, vengono prodotti ogni giorno da milioni di utenti provenienti da tutto il mondo e riguardano i più svariati argomenti. Il Web si è quindi rapidamente trasformato in una vera e propria miniera di informazioni preziose per molti soggetti, in primo luogo per le aziende che possono capire cosa i consumatori pensano dei prodotti e servizi offerti. Nel settore dell’hospitality hanno acquistato un’importanza sempre maggiore i social media e le piattaforme in cui gli ospiti possono recensire il servizio offerto da ristoranti e strutture alberghiere in base alle loro esperienze. Spesso però il numero di commenti e recensioni è molto elevato, tanto da rendere dispendioso per il management in termini di tempi e costi il monitoraggio di tutti i contenuti prodotti dagli utenti. Per utilizzare tutte queste informazioni sono state implementate diverse tecniche automatizzate in grado di studiare grandissime quantità di dati in formato testuale. Una di queste è la sentiment analysis, che studia la polarità dei testi digitali assegnando un punteggio ad ogni lemma che li compone. Questo studio analizza la percezione dell’offerta alberghiera veneziana attraverso lo studio delle recensioni lasciate su Tripadvisor dagli ospiti delle strutture.
APA, Harvard, Vancouver, ISO, and other styles
4

Dettori, Emilio. "Sentiment Analysis per la moderazione di una community." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2018.

Find full text
Abstract:
Questa tesi, dopo aver illustrato i concetti di Machine Learning e Natural Language Processing, descrive il processo di Sentiment Analysis e le sue applicazioni. L'obiettivo del progetto di tesi è stato quello di studiare un sistema di moderazione automatica testuale di una community online, svolto utilizzando le tre tecniche descritte. In particolare, il fine del progetto è quello di effettuare un'analisi lessicale del testo su un corpus creato appositamente, per poi sviluppare algoritmi di Machine Learning in grado di apprendere da esso. Per ogni tecnologia analizzata sono mostrati esempi e casi d'uso.
APA, Harvard, Vancouver, ISO, and other styles
5

Sut, Emily <1989&gt. "Il turista 2.0: tendenze ed evoluzione della Sentiment Analysis." Master's Degree Thesis, Università Ca' Foscari Venezia, 2014. http://hdl.handle.net/10579/5251.

Full text
Abstract:
La tesi da me presentata si focalizza sul consumatore turista e sull'evoluzione del modo di esprimersi attraverso la rete. In particolare nel primo capitolo ho approfondito come l’evoluzione di internet abbia cambiato i comportamenti e gli stili di vita delle persone facendo dei social network il punto focale di ogni attività, da quella commerciale a quelle turistica. In seguito ho trattato i principali strumenti di analisi che riguardano i comportamenti dei turisti. Come conclusione della mia tesi ho analizzato i risultati ottenuti attraverso l’uso di tali strumenti.
APA, Harvard, Vancouver, ISO, and other styles
6

Abrantes, Filipe André Catarino. "Processos e ferramentas de análise de Big Data : a análise de sentimento no twitter." Master's thesis, Instituto Superior de Economia e Gestão, 2017. http://hdl.handle.net/10400.5/15802.

Full text
Abstract:
Mestrado em Gestão de Sistemas de Informação<br>Com o aumento exponencial na produção de dados a nível mundial, torna-se crucial encontrar processos e ferramentas que permitam analisar este grande volume de dados (comumente denominado de Big Data), principalmente os não estruturados como é o caso dos dados produzidos em formato de texto. As empresas, hoje, tentam extrair valor destes dados, muitos deles gerados por clientes ou potenciais clientes, que lhes podem conferir vantagem competitiva. A dificuldade subsiste na forma como se analisa dados não estruturados, nomeadamente, os dados produzidos através das redes digitais, que são uma das grandes fontes de informação das organizações. Neste trabalho será enquadrada a problemática da estruturação e análise de Big Data, são apresentadas as diferentes abordagens para a resolução deste problema e testada uma das abordagens num bloco de dados selecionado. Optou-se pela abordagem de análise de sentimento, através de técnica de text mining, utilizando a linguagem R e texto partilhado na rede Twitter, relativo a quatro gigantes tecnológicas: Amazon, Apple, Google e Microsoft. Conclui-se, após o desenvolvimento e experimento do protótipo realizado neste projeto, que é possível efetuar análise de sentimento de tweets utilizando a ferramenta R, permitindo extrair informação de valor a partir de grandes blocos de dados.<br>Due to the exponential increase of global data, it becomes crucial to find processes and tools that make it possible to analyse this large volume (usually known as Big Data) of unstructured data, especially, the text format data. Nowadays, companies are trying to extract value from these data, mostly generated by customers or potential customers, which can assure a competitive leverage. The main difficulty is how to analyse unstructured data, in particular, data generated through digital networks, which are one of the biggest sources of information for organizations. During this project, the problem of Big Data structuring and analysis will be framed, will be presented the different approaches to solve this issue and one of the approaches will be tested in a selected data block. It was selected the sentiment analysis approach, using text mining technique, R language and text shared in Twitter, related to four technology giants: Amazon, Apple, Google and Microsoft. In conclusion, after the development and experimentation of the prototype carried out in this project, that it is possible to perform tweets sentiment analysis using the tool R, allowing to extract valuable information from large blocks of data.<br>info:eu-repo/semantics/publishedVersion
APA, Harvard, Vancouver, ISO, and other styles
7

Skrupskelytė, Inga. "Sentimentų analizė lietuviškuose internetiniuose dokumentuose naudojant kalbos technologijas." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2012. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2012~D_20120620_111600-75168.

Full text
Abstract:
Vis aktyviau pasaulyje yra domimasi sentimentų analize. Verslininkai, garsių pasaulyje įmonių atstovai naudojasi sentimentų analizės įrankiais, kurie leidžia analizuoti tūkstančius vartotojų komentarų (Twitter, Facebook socialiniuose tinkluose, kituose tinklalapiuose). Išanalizavus internetinius komentarus suinteresuotos šalys mato kaip vertinami jų produktai ar paslaugos, prekės ženklai, darbuotojai. Tai naudinga informacija, kuri padeda valdyti savo verslą. Deja, tokių įrankių skirtų lietuvių kalbai nėra. Šio darbo tikslas išanalizavus nuomonių gavybos metodus parengti sprendimą tinkamą lietuviškų internetinių tekstų sentimentų analizei ir jį įgyvendinti. Šiame darbe yra analizuojami sentimentų analizės metodai, egzistuojantys sentimentų analizės įrankiai. Taip pat pateikiamas metodikos lietuviškų tekstų nuomonių analizei formulavimas, pagrindžiant bandymais. Darbo eigoje sukurtas įrankių rinkinys Python kalba, leidžiantis išbandyti siūlomą metodiką. Darbas užbaigiamas rekomendacijomis, kurios leistų patobulinti sukurtą įrankių rinkinį.<br>Interest in the analysis of sentiment in the world is rising. Entrepreneurs, representatives from world famous companies are using analysis tools ofsentiments that allow to analyze thousands of users comments (Twitter, Facebook,in social networks, or other sites). After analysis of online comments interested parties can see how is valued their products or services, brands, and employees. This is a useful information, that helps you to manage your business. Unfortunately, there is no such tools for the Lithuanian language. The aim of this analysis is to develop and implement methods for extracting the proper sentiments of decision in Lithuanian texts online. In this paper is an overview of analytical methods, existing sentiment analysis tools. It is also provided formulation of a methodology of Lithuanian texts opinion for its analysis, based on justification tests. During a work process was created a set of tools developed in Python that allows to test the proposed methodology. Work is completed with recomendations, which allows to improve the developed Toolkit.
APA, Harvard, Vancouver, ISO, and other styles
8

Alsehaimi, Afnan Abdulrahman A. "Sentiment Analysis for E-book Reviews on Amazon to Determine E-book Impact Rank." University of Dayton / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1619109972210567.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Freitas, Larissa Astrogildo de. "Feature-level sentiment analysis applied to brazilian portuguese reviews." Pontifícia Universidade Católica do Rio Grande do Sul, 2015. http://hdl.handle.net/10923/7247.

Full text
Abstract:
Made available in DSpace on 2015-05-22T12:36:36Z (GMT). No. of bitstreams: 1 000468945-Texto+Completo-0.pdf: 990591 bytes, checksum: 7d04b4b3b2f91050851802c6d65349f1 (MD5) Previous issue date: 2015<br>Sentiment Analysis is the field of study that analyzes people’s opinions in texts. In the last decade, humans have come to share their opinions in social media on the Web (e.g., forum discussions and posts in social network sites). Opinions are important because whenever we need to take a decision, we want to know others’ points of view. The interest of industry and academia in this field of study is partly due to its potential applications, such as: marketing, public relations and political campaign. Research in this field often considers English data, while data from other languages are less explored. It is possible realize data analysis in different levels, in this work we choose a finer-grain analysis, at aspect-level. Ontologies can represent aspects, that are “part-of” an object or property of “part-of” an object, we proposed a method for feature-level sentiment analysis using ontologies applied to Brazilian Portuguese reviews. In order to obtain a complete analysis, we recognized features explicit and implicit using ontologies. Relatively less work has been done about implicit feature identification. Finally, determine whether the sentiment in relation to the aspects is positive or negative using sentiment lexicons and linguistic rules. Our method is comprised of four steps: preprocessing, feature identification, polarity identification and summarizing. For evaluate this work, we apply our proposal method to a dataset of accommodation sector. According to our experiments, in general the best results were obtained when using TreeTagger, synsets with polarities from Onto. PT and linguistic rule (adjective position) for negative polarity identification and (baseline) for positive polarity identificatio<br>Análise de sentimento é o campo de estudo que analisa a opinião de pessoas em textos. Na última década, humanos têm compartilhado suas opiniões em mídias sociais na Web (por exemplo, fóruns de discussão e posts em sites de redes sociais). Opiniões são importantes porque sempre que necessitamos tomar uma decisão, queremos saber o ponto de vista de outras pessoas. O interesse da indústria e da academia neste campo de estudo se deve a aplicações potenciais, tais como: compra/venda, relações públicas e campanhas políticas. Pesquisas neste campo muitas vezes consideram dados em inglês, enquanto dados em outros idiomas são pouco explorados. É possível realizar a análise dos dados em diferentes níveis, neste trabalho optamos pela análise no nível de aspecto, na qual a granularidade é mais fina. Como ontologias podem ser utilizadas para representar aspectos, que são “parte-de” um objeto ou propriedade de “parte-de” um objeto, propomos um método para análise de sentimento aplicado a comentários em português brasileiro, sob o nível de aspecto usando ontologias. A fim de obter uma análise completa, reconhecemos aspectos explícitos e implícitos usando ontologias. Relativamente poucos trabalhos têm sido feitos sobre identificação de aspectos implícitos. Finalmente determinamos se o sentimento em relação aos aspectos é positivo ou negativo usando léxicos de sentimento e regras linguísticas. Nosso método é composto de quatro etapas: pré-processamento, identificação de aspecto, identificação de polaridade e sumarização. Para avaliar este trabalho, aplicamos o método proposto nos comentários do setor hoteleiro. De acordo com nosso experimento, o melhor resultado obtido foi quando utilizamos o TreeTagger, o synset com polaridade do Onto. PT e a regra linguística (posição do adjetivo) na identificação da polaridade negativa e (baseline) na identificação da polaridade positiva
APA, Harvard, Vancouver, ISO, and other styles
10

Pizzol, Martino. "Entity extraction e text classification come strumenti per la sentiment analysis di testi giornalistici." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2015. http://amslaurea.unibo.it/8396/.

Full text
Abstract:
In this thesis we are going to talk about technologies which allow us to approach sentiment analysis on newspapers articles. The final goal of this work is to help social scholars to do content analysis on big corpora of texts in a faster way thanks to the support of automatic text classification.
APA, Harvard, Vancouver, ISO, and other styles
More sources

Books on the topic ""Sentiment Analysis in E-Commerce"

1

Ceron, Andrea, Luigi Curini, and Stefano M. Iacus. Social Media e Sentiment Analysis. Springer Milan, 2014. http://dx.doi.org/10.1007/978-88-470-5532-2.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Nancy, Stevenson. Learning E-commerce: Business analysis & design. DDC Pub., 2001.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
3

Hamilton, Michael Levi. Pricing Tools and Analysis for Emerging e-Commerce Technologies. [publisher not identified], 2019.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
4

Joshi, Rita B. Analysis of e-commerce and issues related to security control. University of East London, 1999.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
5

Deutsche Gesellschaft für Internationale Zusammenarbeit, China. State Administration for Industry and Commerce. Dept. of Market Regulation, and China Society of Administration for Industry & Commerce, eds. E-commerce in China and Germany: A Sino-German comparative analysis. C.H. Beck, 2012.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
6

Xiong, Li, and Houcai Wang. User-Driven Cross-Border E-Commerce Platform Competition and Policy Analysis. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-3835-9.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Yew-Kwang, Ng, Shi Heling 1965-, and Sun Guang-Zhen, eds. The economics of e-commerce and networking decisions: Applications and extensions of inframarginal analysis. Palgrave Macmillan, 2003.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
8

Western Australia. Department of Industry and Technology. E-commerce, a primary objective: An environmental analysis of electronic commerce in the primary industry sectors in Western Australia. Dept. of Industry & Technology, 2001.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
9

Antônio, Montoya Marco, and Picerno Alfredo, eds. Relações intersetoriais do Mercosul e da economia brasileira: Uma abordagem de equilíbrio geral do tipo insumo-produto. Ediupf, 1998.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
10

Wong, Chi-sang. Analysis, design and implementation of E-commerce for small and medium enterprises (SMEs) in Hong Kong. Oxford Brookes University, 2000.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Book chapters on the topic ""Sentiment Analysis in E-Commerce"

1

Patel, Astha, Ankit Chauhan, and Madhuri Vaghasia. "A Survey on E-Commerce Sentiment Analysis." In Expert Clouds and Applications. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2500-9_6.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Praveen, M., R. R. Vijay, R. S. Aaditya Shreeram, and S. Manohar. "E-commerce Product Sentiment Assessment and Aspect Analysis." In Communications in Computer and Information Science. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-82383-1_26.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Arora, Sonakshi, P. Harika, and Sakshi Shringi. "Impact of Sentiment Analysis in E-Commerce and Cybersecurity." In Communications in Computer and Information Science. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-73494-6_24.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Chamekh, Ameni, Mariem Mahfoudh, and Germain Forestier. "Sentiment Analysis Based on Deep Learning in E-Commerce." In Knowledge Science, Engineering and Management. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-10986-7_40.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Kumar, Abhishek, Aniket Pratap Singh, and Ramkumar Jayaraman. "Sentimental Analysis for E-commerce Site." In Data Intelligence and Cognitive Informatics. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-6460-1_5.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Bordoloi, Monali, and Saroj Kumar Biswas. "Graph-Based Sentiment Analysis Model for E-Commerce Websites’ Data." In Cognitive Informatics and Soft Computing. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-0617-4_45.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Zheng, Lizhou, Peiquan Jin, Jie Zhao, and Lihua Yue. "Multi-dimensional Sentiment Analysis for Large-Scale E-commerce Reviews." In Lecture Notes in Computer Science. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-10085-2_41.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Jana, Enakshi, and V. Uma. "Aspect Extraction and Sentiment Analysis for E-Commerce Product Reviews." In Emerging Trends in Computing and Expert Technology. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32150-5_79.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Kapadia, Beena, and Amita Jain. "Analysis of Papers Based on Sentiment Analysis Applications on E-Commerce Data." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-73603-3_30.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Huang, Huang, Adeleh Asemi, and Mumtaz Begum Mustafa. "Sentiment Analysis Application in E-Commerce: Current Models and Future Directions." In Electronic Government and the Information Systems Perspective. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-39841-4_5.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic ""Sentiment Analysis in E-Commerce"

1

Aydoğan, Elif Hanife, and Feyza Yildirim Okay. "Sentiment Analysis of Reviews for E-Commerce Applications." In 2024 9th International Conference on Computer Science and Engineering (UBMK). IEEE, 2024. https://doi.org/10.1109/ubmk63289.2024.10773400.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Aamer, Najmuddin, Tanusha Mittal, Nantha Kumar Muthusamy, R. S. S. Raju Battula, Ajith P. S, and ManzooreElahi M. Soudagar. "Comparing Collaborative Filtering Algorithms in AI-Powered Recommendation Systems for E-Commerce." In 2025 4th International Conference on Sentiment Analysis and Deep Learning (ICSADL). IEEE, 2025. https://doi.org/10.1109/icsadl65848.2025.10933448.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Paul, Priti, Soubhik Acharya, Bitan Misra, Soumi Majumder, Nilanjan Dey, and Priya Pise. "Sentiment Analysis for E-Commerce Product Reviews Using CNN-LSTM." In 2024 First International Conference for Women in Computing (InCoWoCo). IEEE, 2024. https://doi.org/10.1109/incowoco64194.2024.10863425.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Ao, Xiqin, Liyang Zhao, Xingyu Liu, and Tingting Wu. "Sentiment Analysis of E-Commerce Product Reviews Based on BiLSTM Model." In 2024 9th International Conference on Intelligent Computing and Signal Processing (ICSP). IEEE, 2024. http://dx.doi.org/10.1109/icsp62122.2024.10743562.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Sharma, Suchita, and Nishith Desai. "Improvising E-Commerce Sentiment Analysis with Hybrid VADER-BERT Ensemble Model." In 2024 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM). IEEE, 2024. https://doi.org/10.1109/cenim64038.2024.10882816.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

He, Min. "A Review of Data Fusion and Deep Learning Models for Multimodal Sentiment Analysis." In International Conference on E-commerce and Artificial Intelligence. SCITEPRESS - Science and Technology Publications, 2024. https://doi.org/10.5220/0013189700004568.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Balaji, S., and D. Manikavelan. "Stacking Based Enhanced Sales Forecasting for E-commerce Using Ensemble Learning approaches with Multi-Scaling Data." In 2025 4th International Conference on Sentiment Analysis and Deep Learning (ICSADL). IEEE, 2025. https://doi.org/10.1109/icsadl65848.2025.10933090.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Giri, Yuvraj, Vandana Bhagat, and Ashaq Hussain Ganie. "Empowering E-commerce: Leveraging Open AI and Sentiment Analysis for Smarter Recommendations." In 2024 International Conference on Electrical Electronics and Computing Technologies (ICEECT). IEEE, 2024. http://dx.doi.org/10.1109/iceect61758.2024.10739003.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

De, Tanmoy, Dankan Gowda V, Pooja Thirani, KDV Prasad, Ved Srinivas, and Namineni Gireesh. "Machine Learning Applications in Azure for Enhanced E-commerce Customer Sentiment Analysis." In 2024 7th International Conference on Circuit Power and Computing Technologies (ICCPCT). IEEE, 2024. http://dx.doi.org/10.1109/iccpct61902.2024.10673410.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Gupta, Ravi, Avanish Jha, Rudraksh Singh, Ratneshwar Kumar Bharti, and Ranjith R. "From Logistic Regression to BERT: Benchmarking Sentiment Analysis Models on E-commerce Data." In 2024 International Conference on Futuristic Technologies in Control Systems & Renewable Energy (ICFCR). IEEE, 2024. https://doi.org/10.1109/icfcr64128.2024.10763143.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Reports on the topic ""Sentiment Analysis in E-Commerce"

1

Adegoke, Damilola, Natasha Chilambo, Adeoti Dipeolu, Ibrahim Machina, Ade Obafemi-Olopade, and Dolapo Yusuf. Public discourses and Engagement on Governance of Covid-19 in Ekiti State, Nigeria. African Leadership Center, King's College London, 2021. http://dx.doi.org/10.47697/lab.202101.

Full text
Abstract:
Numerous studies have emerged so far on Covid-19 (SARS-CoV-2) across different disciplines. There is virtually no facet of human experience and relationships that have not been studied. In Nigeria, these studies include knowledge and attitude, risk perception, public perception of Covid-19 management, e-learning, palliatives, precautionary behaviours etc.,, Studies have also been carried out on public framing of Covid-19 discourses in Nigeria; these have explored both offline and online messaging and issues from the perspectives of citizens towards government’s policy responses such as palliative distributions, social distancing and lockdown. The investigators of these thematic concerns deployed different methodological tools in their studies. These tools include policy evaluations, content analysis, sentiment analysis, discourse analysis, survey questionnaires, focus group discussions, in depth-interviews as well as machine learning., These studies nearly always focus on the national government policy response, with little or no focus on the constituent states. In many of the studies, the researchers work with newspaper articles for analysis of public opinions while others use social media generated contents such as tweets) as sources for analysis of sentiments and opinions. Although there are others who rely on the use of survey questionnaires and other tools outlined above; the limitations of these approaches necessitated the research plan adopted by this study. Most of the social media users in Nigeria are domiciled in cities and their demography comprises the middle class (socio-economic) who are more likely to be literate with access to internet technologies. Hence, the opinions of a majority of the population who are most likely rural dwellers with limited access to internet technologies are very often excluded. This is not in any way to disparage social media content analysis findings; because the opinions expressed by opinion leaders usually represent the larger subset of opinions prevalent in the society. Analysing public perception using questionnaires is also fraught with its challenges, as well as reliance on newspaper articles. A lot of the newspapers and news media organisations in Nigeria are politically hinged; some of them have active politicians and their associates as their proprietors. Getting unbiased opinions from these sources might be difficult. The news articles are also most likely to reflect and amplify official positions through press releases and interviews which usually privilege elite actors. These gaps motivated this collaboration between Ekiti State Government and the African Leadership Centre at King’s College London to embark on research that will primarily assess public perceptions of government leadership response to Covid-19 in Ekiti State. The timeframe of the study covers the first phase of the pandemic in Ekiti State (March/April to August 2020).
APA, Harvard, Vancouver, ISO, and other styles
2

Sawada, Yasuyuki, Yesim Elhan-Kayalar, Matthew Shum, and Daniel Yi Xu. E-Commerce and Its Role during the COVID-19 Pandemic in Indonesia. Asian Development Bank, 2023. http://dx.doi.org/10.22617/wps230500-2.

Full text
Abstract:
This paper analyzes how e-commerce dynamics unfolded during the coronavirus disease (COVID-19) pandemic, using a unique, composite dataset focusing on GoFood merchants on the Gojek Indonesia platform. It expands the analysis of the platform efficiency contributions into static efficiency and dynamic efficiency perspectives. There are three key findings: online platforms like Gojek offered a novel form of social safety nets for micro, small, and medium-sized enterprises; as the COVID-19 pandemic intensified, market congestion externalities and cannibalization tendencies emerged; and women- and men-owned businesses opted for different crisis-mitigation and coping strategies. This study also demonstrates that the rapid acceleration of digital transformation presents unique research opportunities on distributive justice, external effects, and scale economies.
APA, Harvard, Vancouver, ISO, and other styles
3

LaRaine Ingram, Keisha. Applied Sales Predictive Analytics for Business Development. Vilnius Business College, 2024. http://dx.doi.org/10.57005/ab.2024.1.2.

Full text
Abstract:
In the dynamic business environment, leveraging predictive analytics for sales optimization and business development has become crucial for achieving sustained growth. As the e-commerce landscape continues to evolve, many e-businesses must harness the power of predictive analytics to anticipate sales trends and optimize business development strategies. This paper explores the application of sales predictive analytics, focusing on its role in forecasting sales, optimizing resource allocation, and enhancing customer relationship management. The application of predictive analytics in sales forecasting in online marketplace platforms is also explored, through the examination of various predictive models using real-world case studies. By exploring various methodologies and tools, the study illustrates how predictive analytics can be integrated into e-businesses' operations to drive growth, and enhance decision-making, highlighting the transformative potential of analytics in making data-driven decisions, ultimately fostering sustainable growth and competitive advantage. Through the analysis of historical sales data, consumer behaviour patterns, and market trends, predictive analytics provides actionable insights that are crucial for strategic planning and operational efficiency. The paper also addresses challenges and best practices for implementing predictive analytics into the business process of e-businesses.
APA, Harvard, Vancouver, ISO, and other styles
4

Jones, Emily, Beatriz Kira, Anna Sands, and Danilo B. Garrido Alves. The UK and Digital Trade: Which way forward? Blavatnik School of Government, 2021. http://dx.doi.org/10.35489/bsg-wp-2021/038.

Full text
Abstract:
The internet and digital technologies are upending global trade. Industries and supply chains are being transformed, and the movement of data across borders is now central to the operation of the global economy. Provisions in trade agreements address many aspects of the digital economy – from cross-border data flows, to the protection of citizens’ personal data, and the regulation of the internet and new technologies like artificial intelligence and algorithmic decision-making. The UK government has identified digital trade as a priority in its Global Britain strategy and one of the main sources of economic growth to recover from the pandemic. It wants the UK to play a leading role in setting the international standards and regulations that govern the global digital economy. The regulation of digital trade is a fast-evolving and contentious issue, and the US, European Union (EU), and China have adopted different approaches. Now that the UK has left the EU, it will need to navigate across multiple and often conflicting digital realms. The UK needs to decide which policy objectives it will prioritise, how to regulate the digital economy domestically, and how best to achieve its priorities when negotiating international trade agreements. There is an urgent need to develop a robust, evidence-based approach to the UK’s digital trade strategy that takes into account the perspectives of businesses, workers, and citizens, as well as the approaches of other countries in the global economy. This working paper aims to inform UK policy debates by assessing the state of play in digital trade globally. The authors present a detailed analysis of five policy areas that are central to discussions on digital trade for the UK: cross-border data flows and privacy; internet access and content regulation; intellectual property and innovation; e-commerce (including trade facilitation and consumer protection); and taxation (customs duties on e-commerce and digital services taxes). In each of these areas the authors compare and contrast the approaches taken by the US, EU and China, discuss the public policy implications, and examine the choices facing the UK.
APA, Harvard, Vancouver, ISO, and other styles
5

Oleksiuk, Vasyl P., and Olesia R. Oleksiuk. Exploring the potential of augmented reality for teaching school computer science. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/4404.

Full text
Abstract:
The article analyzes the phenomenon of augmented reality (AR) in education. AR is a new technology that complements the real world with the help of computer data. Such content is tied to specific locations or activities. Over the last few years, AR applications have become available on mobile devices. AR becomes available in the media (news, entertainment, sports). It is starting to enter other areas of life (such as e-commerce, travel, marketing). But education has the biggest impact on AR. Based on the analysis of scientific publications, the authors explored the possibilities of using augmented reality in education. They identified means of augmented reality for teaching computer science at school. Such programs and services allow students to observe the operation of computer systems when changing their parameters. Students can also modify computer hardware for augmented reality objects and visualize algorithms and data processes. The article describes the content of author training for practicing teachers. At this event, some applications for training in AR technology were considered. The possibilities of working with augmented reality objects in computer science training are singled out. It is shown that the use of augmented reality provides an opportunity to increase the realism of research; provides emotional and cognitive experience. This all contributes to engaging students in systematic learning; creates new opportunities for collaborative learning, develops new representations of real objects.
APA, Harvard, Vancouver, ISO, and other styles
6

Kelbesa, Megersa. Digital Service Taxes and Their Application. Institute of Development Studies (IDS), 2021. http://dx.doi.org/10.19088/k4d.2021.135.

Full text
Abstract:
Many developing economies have seen a rise in e-commerce activity within their borders, and a decline in income from traditional industries as a result of COVID-19, meaning the digital economy offers a potentially unexploited source of tax revenue. . As a result, more developing countries may soon begin adopting some sort of digital tax. The economic activities which may be subject to the Digital Services Tax (DST) may vary from country to country. It will, therefore, be necessary for businesses operating in multiple jurisdictions across developing countries to keep up with the changes in digital taxes. Before implementing a DST scheme, developing countries are advised to perform an in-depth cost-benefit analysis and due considerations. Some developing (and several developed) countries have already unilaterally implemented a “provisional” DST system. Other developing countries are on the process of implementing DST or have simply announced that they will implement a DST soon. Although most of the countries so far actively working on DST (are rich countries, a growing list of developing countries are joining the process. Some examples include the following: Malaysia, Indonesia, Kenya, Nigeria, Argentina and, Chile. It is important to mention that the literature on DST is very limited – although growing, and the evidence base around the economic impacts is particularly scarce. This is partly due to the quite recent nature of DST implementation. The evidence is even scarcer for developing countries – Due to these limitations, this rapid evidence review looks at different types of available literature – including reports and blogs issued by international financial institutions and development agencies. The rest of the report will give an overview of key proposed approaches to tax the digital economy, provide a very brief account of the economic impact of DST, provide a brief mapping of the implementation of digital service taxes in developing countries, provide a brief description of each DST system and about the economic impact of the DST, finally a brief account or attributes of a “good” DST system.
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic '"Sentiment Analysis in E-Commerce' for particular source types:
Journal articles Dissertations / Theses Books
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography