Relevant bibliographies by topics / Text reviews

Contents

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

Academic literature on the topic 'Text reviews'

Author: Grafiati
Published: 10 September 2021
Last updated: 17 July 2025

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Journal articles on the topic "Text reviews"

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Chigater, Keerthana, and Rekha Bhandarkar. "Necessity and Preference Mining from Text Reviews: A Non-bipolar assessment of Text Reviews." Indian Journal of Science and Technology 14, no. 40 (2021): 3064–73. http://dx.doi.org/10.17485/ijst/v14i40.701.

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Jartoft, Vibeke, Anne Vils Møller, and Jette Thise Pedersen. "Text Mining i systematiske reviews." Revy 43, no. 2 (2020): 6–9. http://dx.doi.org/10.22439/revy.v43i2.5993.

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Udvikling af servicemodeller og kompetencer i forhold til bibliotekernes rolle ved udarbejdelse af systematiske oversigtsartikler. Som en del af projektet har vi undersøgt, hvordan text mining kan bidrage til udarbejdelsen af systematiske forskningsoversigter, også kaldet reviews.
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Tunon, Cris. "Reviews : Text for the task." Health Education Journal 46, no. 4 (1987): 186. http://dx.doi.org/10.1177/001789698704600416.

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Elliott, J. K. "Book Reviews : The Byzantine Text." Expository Times 107, no. 5 (1996): 152–53. http://dx.doi.org/10.1177/001452469610700515.

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Keerthana, Chigateri, and Bhandarkar Rekha. "Necessity and Preference Mining from Text Reviews: A Non-bipolar assessment of Text Reviews." Indian Journal of Science and Technology 14, no. 40 (2021): 3064–73. https://doi.org/10.17485/IJST/v14i40.701.

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Abstract <strong>Objective:</strong>&nbsp;To perform opinion mining on text reviews related to hotel.&nbsp;<strong>Methods:</strong>&nbsp;In this work, the opinion is mined by identifying and extracting necessities and preferences along with the associated two features or aspects expressed in text reviews by customers. The hotel dataset (From Kaggle website, hotels in United States, has 35912 samples) is considered for training and testing. Modals &lsquo;Has&rsquo; and &lsquo;Would&rsquo; are used to identify and extract reviews which are expressing the necessities and preferences of customers
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Vali, Hessam, Jingjun (David) Xu, and Mehmet Bayram Yildirim. "Comparative Reviews vs. Regular Consumer Reviews." Journal of Global Information Management 29, no. 6 (2021): 1–29. http://dx.doi.org/10.4018/jgim.20211101.oa7.

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This study proposes and evaluates the effect of “mixed” comparative reviews on review value and compares the results with “separate” comparative and regular reviews. A total of 201 subjects have participated in the experiment conducted in this study. Results indicate that mixed comparative reviews in text format are perceived as less valuable than separate comparative reviews in text format. However, mixed comparative reviews in tabular format have more review value than those in text format and are perceived as more valuable than regular reviews of one product in either format. Unsurprisingly
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Li, Lusi, Liuliu Fu, and Wenlu Zhang. "Impact of Text Diversity on Review Helpfulness: A Topic Modeling Approach." Interdisciplinary Journal of Information, Knowledge, and Management 17 (2022): 087–100. http://dx.doi.org/10.28945/4922.

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Aim/Purpose: In this study, we aim to investigate the impact of an important characteristic of textual reviews – the diversity of the review content on review helpfulness. Background: Consumer-generated reviews are an essential format of online Word-of-Month that help customers reduce uncertainty and information asymmetry. However, not all reviews are equally helpful as reflected by the varying number of helpfulness votes received by reviews. From consumers’ perspective, what kind of content is more effective and useful for making purchase decisions is unclear. Methodology: We use a data set c
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Tse, Polly, and Ken Hyland. "‘So what is the problem this book addresses?’: Interactions in academic book reviews." Text & Talk - An Interdisciplinary Journal of Language, Discourse Communication Studies 26, no. 6 (2006): 767–90. http://dx.doi.org/10.1515/text.2006.031.

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Mason, J. David, Joyce M. Middleton, Donna D. Bobek, et al. "Book Reviews—Text Books, Other Books." Journal of the American Taxation Association 21, no. 2 (1999): 116–24. http://dx.doi.org/10.2308/jata.1999.21.2.116.

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Ananiadou, Sophia, Brian Rea, Naoaki Okazaki, Rob Procter, and James Thomas. "Supporting Systematic Reviews Using Text Mining." Social Science Computer Review 27, no. 4 (2009): 509–23. http://dx.doi.org/10.1177/0894439309332293.

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Dissertations / Theses on the topic "Text reviews"

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Singi, Reddy Dinesh Reddy. "Comparative text summarization of product reviews." Thesis, Kansas State University, 2010. http://hdl.handle.net/2097/7031.

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Master of Science<br>Department of Computing and Information Sciences<br>William H. Hsu<br>This thesis presents an approach towards summarizing product reviews using comparative sentences by sentiment analysis. Specifically, we consider the problem of extracting and scoring features from natural language text for qualitative reviews in a particular domain. When shopping for a product, customers do not find sufficient time to learn about all products on the market. Similarly, manufacturers do not have proper written sources from which to learn about customer opinions. The only available techn
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Ma, Yimin. "Text classification on imbalanced data: Application to systematic reviews automation." Thesis, University of Ottawa (Canada), 2007. http://hdl.handle.net/10393/27532.

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Systematic Review is the basic process of Evidence-based Medicine, and consequently there is urgent need for tools assisting and eventually automating a large part of this process. In the traditional Systematic Review System, reviewers or domain experts manually classify literatures into relevant class and irrelevant class through a series of systematic review levels. In our work with TrialStat, we apply text classification techniques to a Systematic Review System in order to minimize the human efforts in identifying relevant literatures. In most cases, the relevant articles are a small portio
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Wang, Ji. "Clustered Layout Word Cloud for User Generated Online Reviews." Thesis, Virginia Tech, 2012. http://hdl.handle.net/10919/19193.

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User generated reviews, like those found on Yelp and Amazon, have become important refer- ence material in casual decision making, like dining, shopping and entertainment. However, very large amounts of reviews make the review reading process time consuming. A text visualization can speed up the review reading process.<br /><br />In this thesis, we present the clustered layout word cloud -- a text visualization that quickens decision making based on user generated reviews. We used a natural language processing approach, called grammatical dependency parsing, to analyze user generated review co
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Ferreira, Uchoa Marina. "Detecting Fake Reviews with Machine Learning." Thesis, Högskolan Dalarna, Mikrodataanalys, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:du-28133.

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Many individuals and businesses make decisions based on freely and easily accessible online reviews. This provides incentives for the dissemination of fake reviews, which aim to deceive the reader into having undeserved positive or negative opinions about an establishment or service. With that in mind, this work proposes machine learning applications to detect fake online reviews from hotel, restaurant and doctor domains. In order to _lter these deceptive reviews, Neural Networks and Support Vector Ma- chines are used. Both algorithms' parameters are optimized during training. Parameters that
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Haddi, Emma. "Sentiment analysis : text, pre-processing, reader views and cross domains." Thesis, Brunel University, 2015. http://bura.brunel.ac.uk/handle/2438/11196.

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Sentiment analysis has emerged as a field that has attracted a significant amount of attention since it has a wide variety of applications that could benefit from its results, such as news analytics, marketing, question answering, knowledge management and so on. This area, however, is still early in its development where urgent improvements are required on many issues, particularly on the performance of sentiment classification. In this thesis, three key challenging issues affecting sentiment classification are outlined and innovative ways of addressing these issues are presented. First, text
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Zhong, Q. (Qianhui). "Supporting study selection of systematic literature reviews in software engineering with text mining." Master's thesis, University of Oulu, 2017. http://urn.fi/URN:NBN:fi:oulu-201704121478.

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Since Systematic Literature Review (SLR) was introduced to Software Engineering (SE) field in 2003, it has gained plenty of attention and became a quite popular method to collect scientific evidence. However, SLR is a very time-consuming process, especially the study selection procedure. This study was concentrating on how to support study selection process. Design science research methodology was used. An SLR was conducted to reveal the existing evidence of supporting SLR process. The review results indicated that study selection supporting evidences can be classified into three categories:
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Lazreg, Sofien. "Using Information Extraction and Text Classification in an Effort to Support Systematic Literature Reviews." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for datateknikk og informasjonsvitenskap, 2012. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-18415.

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Systematic literature reviews are an important tool in Evidence-basedSoftware Engineering, but require a large amount of effort and time from theresearchers. Data extraction is an important step in these reviews, but currentpractice requires the researchers to manually extract large amounts ofdata. This thesis investigates the possibility of developing a prototype forautomatic extraction, so to reduce the time spent on manually extracting thisdata. By reviewing related research, and experimenting with different features and machine learning models, two different models were implemented in the
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Dwyer, Eleanor A. "Price, Perceived Value and Customer Satisfaction: A Text-Based Econometric Analysis of Yelp! Reviews." Scholarship @ Claremont, 2015. http://scholarship.claremont.edu/scripps_theses/715.

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We examine the antecedents of customer satisfaction in the restaurant sector, paying particular attention to perceived value and price level. Using Latent Dirichlet Allocation, we extract latent topics from the text of Yelp! reviews, then analyze the relationship between these topics and satisfaction, measured as the difference between review rating and user average review rating.
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Aowsakorn, Prach. "A comparative study of book reviews in Thai and English." CSUSB ScholarWorks, 2006. https://scholarworks.lib.csusb.edu/etd-project/32.

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For this study, thirty book reviews in two fields, sixteen in history and sixteen in economics, written in Thai and English (eight in each discipline) were randomly collected from Thai and US academic journals in order to examine the moves in the overall structures of the reviews and reviewers' politeness strategies, and to consider the extend to which the texts vary across the two languages and whether the variation is present in both disciplines.
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Kayaalp, Naime F. "Deciding Polarity of Opinions over Multi-Aspect Customer Reviews." Ohio University / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1408362716.

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Books on the topic "Text reviews"

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Jane, Austen. Emma: Authoritative text, backgrounds, reviews and criticism. 4th ed. W.W. Norton & Co., 2012.

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Jane, Austen. Emma: An authoritative text, backgrounds, reviews and criticism. 3rd ed. W.W. Norton, 2000.

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Jane, Austen. Emma: An authoritative text : backgrounds, reviews, and criticism. 2nd ed. W.W. Norton, 1993.

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Sampson, Elsie. The plain text zine: Boston zine fair diary. Chinese Sweatshop Production, 2006.

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1951-, Letis Theodore P., ed. The Majority text: Essays and reviews in the continuing debate. Institute for Biblical Textual Studies, 1987.

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Dickens, Charles. Oliver Twist: Authoritative text, backgrounds and sources, early reviews, criticism. W.W. Norton, 1993.

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1869-1967, Bergman Bo, ed. Bo Bergman, den kritiske livsbetraktaren: En biografi och bibliografi i text och bilder. Wiken, 1985.

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Stoker, Bram. Dracula: Authoritative text, contexts, reviews and reactions, dramatic and film variations, criticism. W.W. Norton, 1997.

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Skal, David J. Dracula: Authoritative Text, Contexts, Reviews and Reactions, Dramatic and Film Variations, Criticism. Norton & Company, 2021.

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Auerbach, Nina, and David J. Skal, eds. Dracula: An Authoritative Text, Contexts, Reviews and Reactions, Dramatic and Film Variations, Criticism. W.W. Norton & Co., 1997.

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Book chapters on the topic "Text reviews"

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Anandarajan, Murugan, Chelsey Hill, and Thomas Nolan. "Sentiment Analysis of Movie Reviews Using R." In Practical Text Analytics. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-95663-3_13.

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Solovyev, Valery, and Vladimir Ivanov. "Dictionary-Based Problem Phrase Extraction from User Reviews." In Text, Speech and Dialogue. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-10816-2_28.

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Terzi, Maria, Matthew Rowe, Maria-Angela Ferrario, and Jon Whittle. "Text-Based User-kNN: Measuring User Similarity Based on Text Reviews." In User Modeling, Adaptation, and Personalization. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08786-3_17.

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Tutubalina, Elena. "Dependency-Based Problem Phrase Extraction from User Reviews of Products." In Text, Speech, and Dialogue. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24033-6_23.

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Gupta, Prakhar, Sandeep Kumar, and Kokil Jaidka. "Summarizing Customer Reviews through Aspects and Contexts." In Computational Linguistics and Intelligent Text Processing. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-18117-2_18.

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Mukherjee, Subhabrata, and Pushpak Bhattacharyya. "Feature Specific Sentiment Analysis for Product Reviews." In Computational Linguistics and Intelligent Text Processing. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28604-9_39.

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Shrestha, Prasha, Arjun Mukherjee, and Thamar Solorio. "Large Scale Authorship Attribution of Online Reviews." In Computational Linguistics and Intelligent Text Processing. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-75487-1_17.

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Tutubalina, Elena. "A Sentiment-Aware Topic Model for Extracting Failures from Product Reviews." In Text, Speech, and Dialogue. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-45510-5_5.

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Ariss, Omar El, and Loai M. Alnemer. "Morphology Based Arabic Sentiment Analysis of Book Reviews." In Computational Linguistics and Intelligent Text Processing. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-77116-8_9.

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Alexandrov, Mikhail, Gabriella Skitalinskaya, John Cardiff, Olexiy Koshulko, and Elena Shushkevich. "Classifiers for Yelp-Reviews Based on GMDH-Algorithms." In Computational Linguistics and Intelligent Text Processing. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-23804-8_32.

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Conference papers on the topic "Text reviews"

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Meghebbar, Ayoub, Mohammed Ismail Smahi, and Abdelkrim Benamar. "Detecting Deceptive Reviews Using Text Features Only." In 2024 International Conference of the African Federation of Operational Research Societies (AFROS). IEEE, 2024. https://doi.org/10.1109/afros62115.2024.11036897.

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Thomas, Lijo P., Juby Thomas, Vishnu Achutha Menon, and T. K. Sateesh Kumar. "Sentiment Analysis of Telegram App Reviews Using Text Classification Models." In 2025 4th International Conference on Sentiment Analysis and Deep Learning (ICSADL). IEEE, 2025. https://doi.org/10.1109/icsadl65848.2025.10933302.

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Fujisue, Naohisa, Atsumi Ogata, Kouta Yamashita, Naoya Higuchi, Noriko Horibe, and Shin-Ichi Aoqui. "Sentiment Analysis of Movie Reviews Using Time-Series Text Data." In 2024 IEEE 13th Global Conference on Consumer Electronics (GCCE). IEEE, 2024. https://doi.org/10.1109/gcce62371.2024.10760918.

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Chin, Chiew Sook. "Text Analytics On Company Reviews In Jobstreet." In 8th International Conference on Multidisciplinary Research 2019. European Publisher, 2020. http://dx.doi.org/10.15405/epsbs.2020.03.03.69.

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Cheng, Li Chen, and Legaspi Rhea Sharmayne. "Analysing Digital Banking Reviews Using Text Mining." In 2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM). IEEE, 2020. http://dx.doi.org/10.1109/asonam49781.2020.9381429.

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Chigateri, Keerthana, and Rekha Bhandarkar. "Non-Bipolar Sentiment Assessment of Text Reviews." In 2018 Third International Conference on Electrical, Electronics, Communication, Computer Technologies and Optimization Techniques (ICEECCOT). IEEE, 2018. http://dx.doi.org/10.1109/iceeccot43722.2018.9001649.

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Bai, Hua, and Guojing Wang. "Text Sentiment Analysis of Hotel Online Reviews." In CSSE 2022: 2022 5th International Conference on Computer Science and Software Engineering. ACM, 2022. http://dx.doi.org/10.1145/3569966.3571274.

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Khor, Yuen Kei, Chi Wee Tan, and Tong Ming Lim. "Text Summarization on Amazon Food Reviews using TextRank." In International Conference on Digital Transformation and Applications (ICDXA 2021). Tunku Abdul Rahman University College, 2021. http://dx.doi.org/10.56453/icdxa.2021.1011.

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Text summarization is a technique to create a summary by shortening the length of text but keep the key information. There are two main approaches to summarize the text which are abstractive summarization and extractive summarization. This study is aimed to extract the most important top 5 reviews which can summarize the overall reviews of certain product in Amazon fine food reviews. TextRank algorithm which is one of the extractive summarization approaches is used to perform text summarization automatically. GloVe pre-trained word embedding model with 100 dimensions is used to map each word f
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Olmedilla, María, José Carlos Romero, Rocío Martínez-Torres, Nicolas R. Galván, and Sergio Toral. "Evaluating coherence in AI-generated text." In CARMA 2024 - 6th International Conference on Advanced Research Methods and Analytics. Universitat Politècnica de València, 2024. http://dx.doi.org/10.4995/carma2024.2024.17820.

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This study examines the role of coherence in AI-generated online reviews and its effect on perceived authenticity and consumer trust. By applying advanced metrics like BERT Score, BART Score, and Disco Score, the research analyzes the coherence of AI-generated text using Generative AI models, specifically Llama-2, on Amazon beauty product reviews. Results indicate that AI-generated reviews exhibit higher coherence compared to human-generated content, suggesting that Generative AI can produce seemingly authentic content. This finding challenges the ability to distinguish between human and AI-ge
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Moody, Aaron, Makenzie Spurling, and Chenyi Hu. "The Removal of Irrelevant Human Factors in a Multi-Review Corpus through Text Filtering." In 14th International Conference on Applied Human Factors and Ergonomics (AHFE 2023). AHFE International, 2023. http://dx.doi.org/10.54941/ahfe1003766.

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Generating a high-quality explainable summary of a multi-review corpus can help people save time in reading the reviews. With natural language processing and text clustering, people can generate both abstractive and extractive summaries on a corpus containing up to 967 product reviews (Moody et al. 2022). However, the overall quality of the summaries needs further improvement. Noticing that online reviews in the corpus come from a diverse population, we take an approach of removing irrelevant human factors through pre-processing. Apply available pre-trained models together with reference based
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Reports on the topic "Text reviews"

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Chou, Roger, Azrah Y. Ahmed, Suchitra Iyer, Tracy Dana, Christina Bougatsos, and Benjamin J. Morasco. Living Systematic Reviews: Examining Excluded Full-Text Articles To Better Understand the Evidence Base on Plant-Based Treatments for Chronic Pain. Agency for Healthcare Research and Quality (AHRQ), 2023. http://dx.doi.org/10.23970/ahrqepcwhitepaperevidence.

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Living systematic reviews are a relatively new approach to keeping the evidence in systematic reviews current by frequent surveillance and updating. The Agency for Healthcare Research and Quality’s Evidence-based Practice Center Program commissioned a living systematic review of plant-based treatments for chronic pain management and a series of related white papers. The first white paper described challenges and practical and methodological considerations encountered during the first year of the living review. The second white paper focused on practical considerations for adapting scope and co
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Liu, Lu, Linxi Zeng, Xin Huang, Na Wang, and Guoqiang Zhang. Efficacy and Safety of Dupilumab in Bullous Pemphigoid: A Systematic Review and Meta-Analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.11.0059.

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Review question / Objective: We aimed to conduct a systematic review and meta-analysis about efficacy and safety of dupilumab in treating bullous pemphigoid. Condition being studied: We aimed to conduct a systematic review and meta-analysis about efficacy and safety of dupilumab in treating bullous pemphigoid. Information sources: Pubmed, Embase and SCI-Web of Science were searched up to 8 September 2022. References of included studies, relevant reviews and meta-analyses were examined for potential suitable studies. Authors of included studies were contacted to obtain the full text or further
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Shi, Min, Yao Yao, Haifeng Ding, et al. The Pharyngeal Packs for Dental and Otolaryngological Surgery: A Meta-analysis of High-quality RCTs. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2023. http://dx.doi.org/10.37766/inplasy2023.2.0002.

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Review question / Objective: To quantitatively evaluate the role of pharyngeal packing in dental and otolaryngological surgeries by meta-analysis Eligibility criteria: Trials were included if they met the following criteria: (1) high-quality randomized controlled trial; (2) application of pharyngeal pack was the only intervention; (3) investigations of dental and otolaryngological surgeries; (4) full English text could be identified; and (5) at least one available parametric indicator was addressed.The exclusion criteria were as follows: (1) low-quality RCT or non-RCT; (2) pharyngeal pack was
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Paynter, Robin A., Celia Fiordalisi, Elizabeth Stoeger, et al. A Prospective Comparison of Evidence Synthesis Search Strategies Developed With and Without Text-Mining Tools. Agency for Healthcare Research and Quality (AHRQ), 2021. http://dx.doi.org/10.23970/ahrqepcmethodsprospectivecomparison.

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Background: In an era of explosive growth in biomedical evidence, improving systematic review (SR) search processes is increasingly critical. Text-mining tools (TMTs) are a potentially powerful resource to improve and streamline search strategy development. Two types of TMTs are especially of interest to searchers: word frequency (useful for identifying most used keyword terms, e.g., PubReminer) and clustering (visualizing common themes, e.g., Carrot2). Objectives: The objectives of this study were to compare the benefits and trade-offs of searches with and without the use of TMTs for evidence
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Yatsymirska, Mariya. MODERN MEDIA TEXT: POLITICAL NARRATIVES, MEANINGS AND SENSES, EMOTIONAL MARKERS. Ivan Franko National University of Lviv, 2022. http://dx.doi.org/10.30970/vjo.2022.51.11411.

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The article examines modern media texts in the field of political journalism; the role of information narratives and emotional markers in media doctrine is clarified; verbal expression of rational meanings in the articles of famous Ukrainian analysts is shown. Popular theories of emotions in the process of cognition are considered, their relationship with the author’s personality, reader psychology and gonzo journalism is shown. Since the media text, in contrast to the text, is a product of social communication, the main narrative is information with the intention of influencing public opinion
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Meng, kairui, yulin You, lijuan Chen, and yicheng Liu. A meta analysis on the efficacy of Chengqi Decoction in the treatment of ARDS/ALI. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.8.0040.

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Review question / Objective: What is the clinical efficacy of combing Chengqi Decoction in the treatment of ARDS/ALI, compared with the conventional treatment of ARDA/ALI with western medicine? Condition being studied: Acute respiratory distress syndrome(ARDS), Acute lung injury(ALI). Eligibility criteria: (1) lacking literature data (e.g., nonpaired studies) (2) duplicate publications; (3) do not have access to the full text (4) conference reports, system reviews, protocols, or abstracts; (5) RCTs with small sample sizes; . (5)The treatment course is less than 6 days (6) Exclude articles with
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Pons, Aina, Annalisa Hauck, and Tarek Abdel Aziz. On Indocyanine Green Fluorescence and Autofluorescence in thyroid and parathyroid surgery: A systematic review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.2.0067.

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Review question / Objective: Autofluorescence (AF) and Indocyanine Green Fluorescence (ICG) were used for the first time for parathyroid gland (PG) identification in 2011 and 2015, respectively, during thyroidectomy/parathyroidectomy. Authors reported promising results. We aim to understand the efficacy, technical challenges, cost-effectiveness, and impact on postoperative biochemical and clinical outcomes of such new techniques. Eligibility criteria: The language filter was set to allow for publications in English, German, Spanish, and French assessing the use of ICG and/or AF for PG identifi
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Shi, Min, Yao Yao, Haifeng Ding, et al. The Efficacy of Gastric Aspiration in Reducing Postoperative Vomiting After Oral and Maxillofacial Surgery: A Meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2023. http://dx.doi.org/10.37766/inplasy2023.2.0016.

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Abstract:
Review question / Objective: Our study aimed to determine the role of gastric aspiration in the amelioration of postoperative vomiting (POV) by a meta-analysis. Eligibility criteria: The trials were considered for inclusion if they met the following criteria: (1) randomized controlled trial, (2) trials investigating the effects on reducing vomiting in oral and maxillofacial surgeries, (3) descriptions of postoperative vomiting as the main outcome, and (4) full English text.The following criteria were regarded as exclusion criteria: (1) non-RCTs, (2) investigations on other surgeries, (3) trial
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Figueredo, Luisa, Liliana Martinez, and Joao Paulo Almeida. Current role of Endoscopic Endonasal Approach for Craniopharyngiomas. A 10-year Systematic review and Meta-Analysis Comparison with the Open Transcranial Approach. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2023. http://dx.doi.org/10.37766/inplasy2023.1.0045.

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Review question / Objective: To identify and review studies published in the last ten years, presenting the efficacy and outcomes of EEA and TCA for patients with cranio-pharyngiomas. Eligibility criteria: Studies meeting the following criteria were included: (a) retrospective and prospective studies and (b) observational studies (i.e., cross-sectional, case-control, case-series). The outcomes included visual outcomes (improvement, no changes, worsening), endocrinological outcomes (permanent diabetes insipidus and hypopituitarism), operatory site infection, meningitis, cerebrospinal fluid leak
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10

Hsieh, Patrick, Eric Apaydin, Robert G. Briggs, et al. Diagnosis and Treatment of Tethered Spinal Cord. Agency for Healthcare Research and Quality (AHRQ), 2024. http://dx.doi.org/10.23970/ahrqepccer274.

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Objectives. To summarize the evidence regarding diagnosis, prophylactic treatment, symptomatic treatment, and repeat surgery of tethered spinal cord. Data sources. We searched PubMed®, Embase®, CINAHL, Web of Science, SCOPUS, clinicaltrials.gov, ICTRP, Cochrane Database of Systematic Reviews, PROSPERO, ECRI repository, G-I-N, MagicApp, and ClinicalKey from inception to March 2024; reference-mined reviews; and contacted research authors. Review methods. The review followed a detailed protocol and was supported by a Technical Expert Panel. Systematic review software (DistillerSR) was utilized fo
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