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Dissertations / Theses on the topic 'Text dataset'

Author: Grafiati

Published: 29 September 2021

Last updated: 30 July 2025

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1

Zakaria, Suliman Zubi. "Retrieving Electronic Data Interchange (EDI) Dataset using Text Mining Methods." Thesis, Сумський державний університет, 2012. http://essuir.sumdu.edu.ua/handle/123456789/28658.

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Abstract: - The internet is a huge source of documents, containing a massive number of texts presented in multilingual languages on a wide range of topics. These texts are demonstrating in an electronic documents format hosted on the web. The documents exchanged using special forms in an Electronic Data Interchange (EDI) environment. Using web text mining approaches to mine documents in EDI environment could be new challenging guidelines in web text mining. Applying text-mining approaches to discover knowledge previously unknown patters retrieved from the web documents by using partitioned clu

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Sharma, Nabin. "Multi-lingual Text Processing from Videos." Thesis, Griffith University, 2015. http://hdl.handle.net/10072/367489.

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Advances in digital technology have produced low priced portable imaging devices such as digital cameras attached to mobile phones, camcorders, PDA’s etc. which are highly portable. These devices can be used to capture videos and images at ease, which can be shared through the internet and other communication media. In the commercial do- main, cameras are used to create news, advertisement videos and other forms of material for information communication. The use of multiple languages to create information for targeted audiences is quite common in countries having mul

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Milintsevich, Kirill. "Estimatiοn οf depressiοn level frοm text : symptοm-based apprοach, external knοwledge, dataset validity". Electronic Thesis or Diss., Normandie, 2024. http://www.theses.fr/2024NORMC227.

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Le trouble dépressif majeur (TDM) est l'un des troubles mentaux les plus répandus au monde, entraînant souvent une incapacité et un risque accru de suicide. La récente pandémie de coronavirus (COVID-19) a fait grimper le taux de dépression dans le monde entier. De plus, la stigmatisation et l'accès limité aux traitements entravent le diagnostic et les soins appropriés pour de nombreuses personnes.Des études préliminaires ont montré que les personnes déprimées et non déprimées utilisent un vocabulaire différent. Par exemple, les personnes déprimées ont tendance à utiliser davantage de mots néga

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Wu, Yingyu. "Using Text based Visualization in Data Analysis." Kent State University / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=kent1398079502.

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Shrimpton, Luke William. "Efficient techniques for streaming cross document coreference resolution." Thesis, University of Edinburgh, 2017. http://hdl.handle.net/1842/28895.

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Large text streams are commonplace; news organisations are constantly producing stories and people are constantly writing social media posts. These streams should be analysed in real-time so useful information can be extracted and acted upon instantly. When natural disasters occur people want to be informed, when companies announce new products financial institutions want to know and when celebrities do things their legions of fans want to feel involved. In all these examples people care about getting information in real-time (low latency). These streams are massively varied, people’s interest

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Ryan, Elisabeth. "Towards word alignment and dataset creation for shorthand documents and transcripts." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-452278.

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Analysing handwritten texts and creating labelled data sets can facilitate novel research on languages and advanced computerized analysis of authors works. However, few handwritten works have word wise labelling or data sets associated with them. More often a transcription of the text is available, but without any exact coupling between words in the transcript and word representations in the document images. Can an algorithm be created that will take only an image of handwritten text and a corresponding transcript and return a partial alignment and data set? An algorithm is developed in this t

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Baraheem, Samah Saeed. "Text to Image Synthesis via Mask Anchor Points and Aesthetic Assessment." University of Dayton / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=dayton158800567702413.

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Belay, Birhanu Hailu [Verfasser], and Didier [Akademischer Betreuer] Stricker. "Deep Learning for Amharic Text-Image Recognition: Algorithm, Dataset and Application / Birhanu Hailu Belay ; Betreuer: Didier Stricker." Kaiserslautern : Technische Universität Kaiserslautern, 2021. http://d-nb.info/1229436308/34.

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Monsen, Julius. "Building high-quality datasets for abstractive text summarization : A filtering‐based method applied on Swedish news articles." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-176352.

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With an increasing amount of information on the internet, automatic text summarization could potentially make content more readily available for a larger variety of people. Training and evaluating text summarization models require datasets of sufficient size and quality. Today, most such datasets are in English, and for minor languages such as Swedish, it is not easy to obtain corresponding datasets with handwritten summaries. This thesis proposes methods for compiling high-quality datasets suitable for abstractive summarization from a large amount of noisy data through characterization and fi

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Lewis, Jonathan Scott. "The Role of Work Experiences in College Student Leadership Development: Evidence From a National Dataset and a Text Mining Approach to Examining Beliefs About Leadership." Thesis, Boston College, 2017. http://hdl.handle.net/2345/bc-ir:107652.

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Thesis advisor: Heather Rowan-Kenyon<br>Paid employment is one of the most common extracurricular activities among full-time undergraduates, and an array of studies has attempted to measure its impact. Methodological concerns with the extant literature, however, make it difficult to draw reliable conclusions. Furthermore, the research on working college students has little to say about relationships between employment and leadership development, a key student learning outcome. This study addressed these gaps in two ways, using a national sample of 77,489 students from the 2015 Multi-Institutio

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Kišš, Martin. "Rozpoznávání historických textů pomocí hlubokých neuronových sítí." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2018. http://www.nusl.cz/ntk/nusl-385912.

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The aim of this work is to create a tool for automatic transcription of historical documents. The work is mainly focused on the recognition of texts from the period of modern times written using font Fraktur. The problem is solved with a newly designed recurrent convolutional neural networks and a Spatial Transformer Network. Part of the solution is also an implemented generator of artificial historical texts. Using this generator, an artificial data set is created on which the convolutional neural network for line recognition is trained. This network is then tested on real historical lines of

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Csóka, Pavel. "Rozpoznávání textu pomocí konvolučních sítí." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2016. http://www.nusl.cz/ntk/nusl-255303.

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This thesis aims at creation of new datasets for text recognition machine learning tasks and experiments with convolutional neural networks on these datasets. It describes architecture of convolutional nets, difficulties of recognizing text from photographs and contemporary works using these networks. Next, creation of annotation, using Tesseract OCR, for dataset comprised from photos of document pages, taken by mobile phones, named Mobile Page Photos. From this dataset two additional are created by cropping characters out of its photos formatted as Street View House Numbers dataset. Dataset M

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Kohút, Jan. "Aktivní učení pro rozpoznávání textu." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2019. http://www.nusl.cz/ntk/nusl-403210.

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The aim of this Master's thesis is to design methods of active learning and to experiment with datasets of historical documents. A large and diverse dataset IMPACT of more than one million lines is used for experiments. I am using neural networks to check the readability of lines and correctness of their annotations. Firstly, I compare architectures of convolutional and recurrent neural networks with bidirectional LSTM layer. Next, I study different ways of learning neural networks using methods of active learning. Mainly I use active learning to adapt neural networks to documents that the neu

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Bustos, Aurelia. "Extraction of medical knowledge from clinical reports and chest x-rays using machine learning techniques." Doctoral thesis, Universidad de Alicante, 2019. http://hdl.handle.net/10045/102193.

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This thesis addresses the extraction of medical knowledge from clinical text using deep learning techniques. In particular, the proposed methods focus on cancer clinical trial protocols and chest x-rays reports. The main results are a proof of concept of the capability of machine learning methods to discern which are regarded as inclusion or exclusion criteria in short free-text clinical notes, and a large scale chest x-ray image dataset labeled with radiological findings, diagnoses and anatomic locations. Clinical trials provide the evidence needed to determine the safety and effectiveness o

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Leong, Hui Sun. "Application of improved automated text mining to transcriptome datasets." Thesis, Cardiff University, 2009. http://orca.cf.ac.uk/55528/.

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A major challenge in microarray data analysis is the functional interpretation of gene lists. A common approach to address this is over-representation analysis (ORA), which uses the hypergeometric test (or its variants) to evaluate whether a particular functionally-defined group of genes is represented more than expected by chance within a gene list. Existing applications of ORA have been largely limited to controlled vocabularies such as Gene Ontology (GO) terms and KEGG pathways. Therefore, this work aims at determining whether ORA can be applied to a wider mining of free-text. Initial explo

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Pohlídal, Antonín. "Inteligentní emailová schránka." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2012. http://www.nusl.cz/ntk/nusl-236458.

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This master's thesis deals with the use of text classification for sorting of incoming emails. First, there is described the Knowledge Discovery in Databases and there is also analyzed in detail the text classification with selected methods. Further, this thesis describes the email communication and SMTP, POP3 and IMAP protocols. The next part contains design of the system that classifies incoming emails and there are also described realated technologie ie Apache James Server, PostgreSQL and RapidMiner. Further, there is described the implementation of all necessary components. The last part c

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Yang, Chaozheng. "Sufficient Dimension Reduction in Complex Datasets." Diss., Temple University Libraries, 2016. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/404627.

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Statistics<br>Ph.D.<br>This dissertation focuses on two problems in dimension reduction. One is using permutation approach to test predictor contribution. The permutation approach applies to marginal coordinate tests based on dimension reduction methods such as SIR, SAVE and DR. This approach no longer requires calculation of the method-specific weights to determine the asymptotic null distribution. The other one is through combining clustering method with robust regression (least absolute deviation) to estimate dimension reduction subspace. Compared with ordinary least squares, the proposed m

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Kesiman, Made Windu Antara. "Document image analysis of Balinese palm leaf manuscripts." Thesis, La Rochelle, 2018. http://www.theses.fr/2018LAROS013/document.

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Les collections de manuscrits sur feuilles de palmier sont devenues une partie intégrante de la culture et de la vie des peuples de l'Asie du Sud-Est. Avec l’augmentation des projets de numérisation des documents patrimoniaux à travers le monde, les collections de manuscrits sur feuilles de palmier ont finalement attiré l'attention des chercheurs en analyse d'images de documents (AID). Les travaux de recherche menés dans le cadre de cette thèse ont porté sur les manuscrits d'Indonésie, et en particulier sur les manuscrits de Bali. Nos travaux visent à proposer des méthodes d’analyse pour les m

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Fearn, Wilson Murray. "Exploring the Relationship Between Vocabulary Scaling and Algorithmic Performance in Text Classification for Large Datasets." BYU ScholarsArchive, 2019. https://scholarsarchive.byu.edu/etd/9053.

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Text analysis is a significant branch of natural language processing, and includes manydifferent sub-fields such as topic modeling, document classification, and sentiment analysis.Unsurprisingly, those who do text analysis are concerned with the runtime of their algorithmsSome of these algorithms have runtimes that depend jointly on the size of the corpus beinganalyzed, as well as the size of that corpus's vocabulary. Trivially, a user may reduce theamount of data they feed into their model to speed it up, but we assume that users will behesitant to do this as more data tends to lead to bette

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Osman, Ahmad. "Automated evaluation of three dimensional ultrasonic datasets." Phd thesis, INSA de Lyon, 2013. http://tel.archives-ouvertes.fr/tel-00995119.

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Non-destructive testing has become necessary to ensure the quality of materials and components either in-service or at the production stage. This requires the use of a rapid, robust and reliable testing technique. As a main testing technique, the ultrasound technology has unique abilities to assess the discontinuity location, size and shape. Such information play a vital role in the acceptance criteria which are based on safety and quality requirements of manufactured components. Consequently, an extensive usage of the ultrasound technique is perceived especially in the inspection of large sca

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Tihlaříková, Jana. "Statistické vyhodnocení přijímacích zkoušek." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2011. http://www.nusl.cz/ntk/nusl-222848.

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This master’s thesis deals with statistical evaluation of the entrance exams at the Faculty of Business and Management of Brno University of Technology, especially the evaluation of the quality of applicants of bachelor study branch “Tax Advisory“. The thesis also includes the forecast of number of applicants, who will apply for the Faculty of Business and Management of Brno University of Technology in the future.

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DENTI, FRANCESCO. "Bayesian Mixtures for Large Scale Inference." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2020. http://hdl.handle.net/10281/262923.

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I modelli mistura bayesiani sono onnipresenti in statistica per la loro semplicità e flessibilità e possono essere facilmente impiegati in un'ampia varietà di contesti. In questa tesi, miriamo a fornire alcuni contributi agli attuali metodi bayesiani di analisi dei dati, spesso motivati da domande di ricerca provenienti da applicazioni biologiche. In particolare, ci concentriamo sullo sviluppo di nuovi modelli mistura bayesiani, tipicamente in un ambiente non parametrico, per migliorare ed estendere aree di ricerca che coinvolgono dati caratterizzati da grande dimensioni: la modellazione di

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Barbazza, Sigfrido. "Deep-learning applicato all'identificazione automatica di frutta in immagini." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2016. http://amslaurea.unibo.it/11526/.

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Analisi delle fasi per la realizzazione di uno strumento di supporto gli agricoltori, dalla creazione di un dataset, all'addestramento e test di una rete neurale artificiale, con obiettivo la localizzazione del prodotto agricolo all'interno delle immagini.

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Myneni, Greeshma. "A System for Managing Experiments in Data Mining." University of Akron / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=akron1279373421.

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Mjörnman, Jesper, and Daniel Mastell. "Randomness as a Cause of Test Flakiness." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-177303.

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With today’s focus on Continuous Integration, test cases are used to ensure the software’s reliability when integrating and developing code. Test cases that behave in an undeterministic manner are known as flaky tests, which threatens the software’s reliability. Because of flaky test’s undeterministic nature, they can be troublesome to detect and correct. This is causing companies to spend great amount of resources on flaky tests since they can reduce the quality of their products and services. The aim of this thesis was to develop a usable tool that can automatically detect flakiness in the R

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Soni, Anita. "Analysis of Swellex bolt performance and a standardized rockbolt pull test datasheet and database." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape4/PQDD_0012/MQ53381.pdf.

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Rolseth, Amund. "Violence against civilians 1900-87 : A four-part analysis using av new dataset to test the relationship between the severity of democide and type of government." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for sosiologi og statsvitenskap, 2011. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-14927.

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The study of violence against civilians with its over 200 million dead in the 20th century is understudied if viewed in terms of the death toll compared to the studies of inter-state and civil war. R.J. Rummel’s extensive data collection of democide in the period 1900-87, has unfortunately lain dormant, mostly untouched by other researchers since its publication in 1997. This thesis has made use of this dataset, and converted it into time-series format in order to facilitate multivariate analyses. Instead of focusing on one type of violence against civilians, the thesis splits it into four dif

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ALZETTA, CHIARA. "From Texts to Prerequisites. Identifying and Annotating Propaedeutic Relations in Educational Textual Resources." Doctoral thesis, Università degli studi di Genova, 2021. http://hdl.handle.net/11567/1050378.

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Prerequisite Relations (PRs) are dependency relations established between two distinct concepts expressing which piece(s) of information a student has to learn first in order to understand a certain target concept. Such relations are one of the most fundamental in Education, playing a crucial role not only for what concerns new knowledge acquisition, but also in the novel applications of Artificial Intelligence to distant and e-learning. Indeed, resources annotated with such information could be used to develop automatic systems able to acquire and organize the knowledge embodied in educationa

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Janssen, Michael. "Balansering av ett rundbaserat strategispelsystem : En reflekterande text rörande arbetet att skapa ett verktyg för balansering av precautionstridsystemet i spelet Dreamlords – The Reawakening." Thesis, University of Skövde, School of Humanities and Informatics, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-1114.

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<p>Följandet arbete är en reflekterande text som handlar om hur jag skapade ett verktyg för att balansera det rundbaserade precautionstridsystemet av spelet Dreamlords – The Reawakening.</p><p>I början förklaras mitt syfte och mål med arbetet som följs av en frågeställning kopplat till det. Jag kommer även att beskriva olika teorier som jag tittade närmare på angående spelbalansering. För att inleda läsaren till spelet Dreamlords ska jag även förklara den generella spelprincipen av hela spelet. Därefter tar jag upp min arbetsprocess som handlar om hur jag strukturerade upp mitt arbete. I denna

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Gandhi, Priyanka. "Extracting Symptoms from Narrative Text using Artificial Intelligence." Thesis, 2020. http://hdl.handle.net/1805/24759.

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Indiana University-Purdue University Indianapolis (IUPUI)<br>Electronic health records collect an enormous amount of data about patients. However, the information about the patient’s illness is stored in progress notes that are in an un- structured format. It is difficult for humans to annotate symptoms listed in the free text. Recently, researchers have explored the advancements of deep learning can be applied to pro- cess biomedical data. The information in the text can be extracted with the help of natural language processing. The research presented in this thesis aims at automating the pro

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Fortuna, Paula Cristina Teixeira. "Automatic detection of hate speech in text: an overview of the topic and dataset annotation with hierarchical classes." Master's thesis, 2017. https://repositorio-aberto.up.pt/handle/10216/106028.

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Nowadays people are using more and more social networks to communicate their opinions, share information and experiences. In social networks people have the feeling of being deindividualized and can incur more frequently in aggressive communication. In this context, it is important that government and social networks platforms have tools to detect hate speech because it is harmful to its targets. In our work we investigate the problem of detecting hate speech online. Our first goal is to make a complete overview on the topic. However, describing the state of the art in the area of hate speech

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Fortuna, Paula Cristina Teixeira. "Automatic detection of hate speech in text: an overview of the topic and dataset annotation with hierarchical classes." Dissertação, 2017. https://repositorio-aberto.up.pt/handle/10216/106028.

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Nowadays people are using more and more social networks to communicate their opinions, share information and experiences. In social networks people have the feeling of being deindividualized and can incur more frequently in aggressive communication. In this context, it is important that government and social networks platforms have tools to detect hate speech because it is harmful to its targets. In our work we investigate the problem of detecting hate speech online. Our first goal is to make a complete overview on the topic. However, describing the state of the art in the area of hate speech

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Mareš, Martin. "Pseudonymizace textových datových kolekcí pro strojové učení." Master's thesis, 2021. http://www.nusl.cz/ntk/nusl-451111.

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Text data collections enable the deployment of artificial intelligence algorithms for novel tasks. Such collections often contain miscellaneous personal data and other sensitive information that complicates sharing and further processing due to the personal data protection requirements. Searching for personal data is often carried out by sequential passes through the complete text. The objective of this thesis is to create a tool that helps the annotators decrease the risk of data leaks from the text collections. The tool utilizes pseudonymization (replacing a word with a different word, based

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Cavalini, Diandre de Paula. "Image Sentiment Analysis of Social Media Data." Master's thesis, 2021. http://hdl.handle.net/10400.6/11847.

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Often a picture is worth a thousand words, and this is a small statement that represents one of the biggest challenges in the Image Sentiment Analysis area. The main theme of this dissertation is the Image Sentiment Analysis of social media, mainly from Twitter, so that it is identified as situations that represent risks (identification of negative situations) or that become a risk (prediction of negative situations). Despite the diversity of work done in the area of image sentiment analysis, it is still a challenging task. Several factors contribute to the difficulty, both more global fa

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SINGH, SWATI. "ANALYSIS FOR TEXT SUMMARIZATION ALGORITHMS FOR DIFFERENT DATASETS." Thesis, 2017. http://dspace.dtu.ac.in:8080/jspui/handle/repository/15975.

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With the exponential increase in the data available on the internet for a single domain, it is difficult to understand the gist of a whole document without reading the whole document. Automatic Text Summarization reduces the content of the document by presenting important key points from the data. Extracting the major points from the document is easier and requires less machinery than forming new sentences from the available data. Research in this domain started nearly 50 years ago from identifying key features to rank important sentences in a text document. The main aim of text summariz

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Liu, Ren-Jie, and 劉人傑. "Relevance Between Dataset Composition and Test Accuracy Based on Deep Learning Algorithm in Voice Detection." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/ru5fp3.

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碩士<br>國立臺北科技大學<br>資訊工程系<br>106<br>Many music processing systems usually need to know the locations of vocal segments in a song to be the first step for further processing or analysis. In this thesis, we investigated the influences of datasets on vocal detection accuracy. To this end, we firstly collected many genres of music, and manually annotated their ground-truth labels as vocal or nonvcal clips. Next, we applied various deep learning architectures to train and predict music clips in the datasets, and observe the experimental results. To understand the impact of different training datasets

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Su, Jui-Shung, and 蘇志雄. "A Closed Multiple Test for Right-Censored Datat." Thesis, 1994. http://ndltd.ncl.edu.tw/handle/18727085810661763993.

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