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Journal articles on the topic 'Text reviews'

Author: Grafiati

Published: 10 September 2021

Last updated: 29 July 2025

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1

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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2

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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3

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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4

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> To perform opinion mining on text reviews related to hotel. <strong>Methods:</strong> 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 ‘Has’ and ‘Would’ are used to identify and extract reviews which are expressing the necessities and preferences of customers

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6

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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7

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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8

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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9

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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10

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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11

Krugly‐Smolska, Eva. "Reviews: A text for all reasons." Canadian Journal of Science, Mathematics and Technology Education 2, no. 1 (2002): 119–20. http://dx.doi.org/10.1080/14926150209556502.

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12

Betts, B. "Software reviews: Voice-to-text technology." Engineering & Technology 7, no. 11 (2012): 96–97. http://dx.doi.org/10.1049/et.2012.1135.

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13

Knowles, G. W. S. "Book Reviews : From Text to Sermon." Expository Times 110, no. 5 (1999): 161–62. http://dx.doi.org/10.1177/001452469911000535.

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14

Kilpatrick, G. D. "Book Reviews : The Text of Luke." Expository Times 99, no. 6 (1988): 183. http://dx.doi.org/10.1177/001452468809900611.

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15

Patrick, Graham. "Book Reviews : One-Sided Text Book." Expository Times 100, no. 9 (1989): 353–54. http://dx.doi.org/10.1177/001452468910000927.

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16

Clements, R. E. "Book Reviews : Ezekiel Is a Text." Expository Times 101, no. 4 (1990): 120. http://dx.doi.org/10.1177/001452469010100409.

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17

Luo, Hanyang, Wanhua Zhou, Wugang Song, and Xiaofu He. "An Empirical Study on the Differences between Online Picture Reviews and Text Reviews." Information 13, no. 7 (2022): 344. http://dx.doi.org/10.3390/info13070344.

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In the context of e-commerce, online travel agencies often derive useful information from online reviews to improve transactions. Based on the dispute on the usefulness of different types of reviews and social exchange theory, this study investigates how the characteristics of pictures and text influence review reading and review posting behaviors and thus influencing the efficiency of online review systems. By analyzing crawled data of online hotels and conducting experiments, we first find that picture reviews are more useful than text reviews, and high-quality pictures in reviews have a sig

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18

Birari, Dipika, Gajanan Walunjkar, Aarti Dandavate, Sonali Mallinath Antad, and Sheetal Phatangare. "Integrated Approach for Emotion Detection via Speech and Text Analysis." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 7 (2023): 282–93. http://dx.doi.org/10.17762/ijritcc.v11i7.7938.

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This paper aims to provide a comprehensive solution for effective reviews using deep learning models. Customers often have difficulty to find accurate reviews of the things they are interested in. The proposed framework implements a review mechanism to address this problem, which will give customers relevant reviews based on video reviews supplied in the product description. The goal of this system is to turn video reviews into a particular rating so that viewers may get a summary of the review without having to watch the full thing by simply glancing at the rating. Deep learning neural networ

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19

Wang, Liang, Gaofeng Che, Jiantuan Hu, and Lin Chen. "Online Review Helpfulness and Information Overload: The Roles of Text, Image, and Video Elements." Journal of Theoretical and Applied Electronic Commerce Research 19, no. 2 (2024): 1243–66. http://dx.doi.org/10.3390/jtaer19020064.

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Online reviews have become an important source of information for consumers, significantly influencing their purchasing decisions. However, the abundance and variety of review formats, especially the mix of text, image, and video elements, can lead to information overload and hinder effective decision-making. This study investigates how different review formats and their combinations affect the perceived helpfulness of reviews. We develop a comprehensive framework to analyze the interactions between text, image, and video elements and their impact on the helpfulness of reviews. We collect and

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20

Contributing Authors. "Book Reviews Vol X No1, full text." Northern Mariner / Le marin du nord 10, no. 1 (2000): 73–139. http://dx.doi.org/10.25071/2561-5467.624.

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21

Contributing Authors. "Book Reviews Vol X No3, full text." Northern Mariner / Le marin du nord 10, no. 3 (2000): 103–39. http://dx.doi.org/10.25071/2561-5467.626.

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Contributing Authors. "Book Reviews Vol XII No4, full text." Northern Mariner / Le marin du nord 12, no. 4 (2002): 47–56. http://dx.doi.org/10.25071/2561-5467.585.

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Contributing Authors. "Book Reviews Vol XII No2, full text." Northern Mariner / Le marin du nord 12, no. 2 (2002): 69–90. http://dx.doi.org/10.25071/2561-5467.583.

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Contributing Authors. "Book Reviews Vol XII No1, full text." Northern Mariner / Le marin du nord 12, no. 1 (2002): 53–68. http://dx.doi.org/10.25071/2561-5467.582.

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Contributing Authors. "Book Reviews Vol XII No3, full text." Northern Mariner / Le marin du nord 12, no. 3 (2002): 51–62. http://dx.doi.org/10.25071/2561-5467.584.

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Contributing Authors. "Book Reviews Vol X No2, full text." Northern Mariner / Le marin du nord 10, no. 2 (2000): 83–137. http://dx.doi.org/10.25071/2561-5467.625.

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27

Cho, Hyerim, Denice Adkins, Jenny Bossaller, and Heather Moulaison‐Sandy. "Moods in Book Reviews: Text Mining Approach." Proceedings of the Association for Information Science and Technology 58, no. 1 (2021): 415–19. http://dx.doi.org/10.1002/pra2.470.

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Contributing Authors. "Book Reviews Vol XV No3, full text." Northern Mariner / Le marin du nord 15, no. 3 (2005): 107–42. http://dx.doi.org/10.25071/2561-5467.510.

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Contributing Authors. "Book Reviews Vol XV No2, full text." Northern Mariner / Le marin du nord 15, no. 2 (2005): 43–86. http://dx.doi.org/10.25071/2561-5467.504.

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30

Contributing Authors. "Book Reviews Vol XIII No2, full text." Northern Mariner / Le marin du nord 13, no. 2 (2003): 59–98. http://dx.doi.org/10.25071/2561-5467.569.

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Contributing Authors. "Book Reviews Vol XIV No4, full text." Northern Mariner / Le marin du nord 14, no. 4 (2004): 73–116. http://dx.doi.org/10.25071/2561-5467.538.

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Contributing Authors. "Book Reviews Vol XV No1, full text." Northern Mariner / Le marin du nord 15, no. 1 (2005): 81–120. http://dx.doi.org/10.25071/2561-5467.501.

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33

Susan Taylor Suchy, and many more, Josie Arnold, Moya Costello,. "TEXT reviews October 2016." TEXT, October 29, 2016. http://dx.doi.org/10.52086/001c.25325.

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34

Gaylene Perry, Molly Travers,, Reviews by Kevin Brophy,, and Donna Lee Brien, Ali Alizadeh, Steve Evans. "TEXT reviews October 2001." TEXT 5, no. 2 (2001). http://dx.doi.org/10.52086/001c.35800.

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Patrick West, Reviews by Jondi Keane,. "TEXT reviews April 2001." TEXT 5, no. 1 (2001). http://dx.doi.org/10.52086/001c.35821.

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Nicole Bourke, Reviews by Komninos Zervos,. "TEXT reviews October 2000." TEXT 4, no. 2 (2000). http://dx.doi.org/10.52086/001c.35871.

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Glen Phillips, Reviews by Donna Lee Brien, Kevin Brophy,. "TEXT reviews April 2000." TEXT 4, no. 1 (2000). http://dx.doi.org/10.52086/001c.35899.

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38

Kate Deller-Evans, Reviews by Rosslyn Prosser, Antonina Lewis,. "TEXT reviews April 1999." TEXT 3, no. 1 (2000). http://dx.doi.org/10.52086/001c.36039.

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39

Moya Costello, Caron Krauth, Komninos Zervos, Reviews by Barry Westburg, Inez Baranay,. "TEXT reviews October 1999." TEXT 3, no. 2 (1999). http://dx.doi.org/10.52086/001c.36070.

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40

Stephen Stockwell, Barry Westburg, Komninos Zervos, Reviews by. "TEXT Reviews April 1998." TEXT 2, no. 1 (1998). http://dx.doi.org/10.52086/001c.36109.

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41

Zan Ross, Reviews by Inez Baranay,, Elizabeth Mansutti, Stephen Stockwell, Kathryn Millard, and Thomas Shapcott, Barry Westburg, Terri-ann White. "TEXT reviews October 1998." TEXT 2, no. 2 (1998). http://dx.doi.org/10.52086/001c.36222.

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42

Kristin Henry, Jenny Digby, Reviews by. "TEXT reviews April 1997." TEXT 1, no. 1 (1997). http://dx.doi.org/10.52086/001c.36254.

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43

Gallo, Patricia. "Full Text LINK - reviews." Permanente Journal 4, no. 3 (2000). http://dx.doi.org/10.7812/tpp/00.940.

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Patrick West, Donna Lee Brien,. "TEXT reviews October 2002." TEXT 6, no. 2 (2002). http://dx.doi.org/10.52086/001c.33091.

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Vernay, Hecq, Gardner, and Sandford, Reviews by Symes &. James, Krauth, Duddy,. "TEXT reviews April 2022." TEXT 26, no. 1 (2022). http://dx.doi.org/10.52086/001c.35479.

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46

Macphee, Ian, Jeremy Fisher, Marcelle Freiman, Gail Pittaway, Jane Browning, and Helen Gildfind. "TEXT reviews October 2012." TEXT 16, no. 2 (2012). http://dx.doi.org/10.52086/001c.31124.

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Gibson, Ross, Dominique Hecq, Kiera Lindsey, et al. "TEXT reviews April 2018." TEXT 22, no. 1 (2018). http://dx.doi.org/10.52086/001c.25127.

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48

West, Patrick, Paul Williams, Christopher Hill, et al. "TEXT reviews October 2017." TEXT 21, no. 2 (2017). http://dx.doi.org/10.52086/001c.25263.

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49

Garrett, Craig, Nikos Papastergiadis, Nicholas Jose, et al. "TEXT reviews October 2014." TEXT 18, no. 2 (2014). http://dx.doi.org/10.52086/001c.27313.

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Cole, Catherine, DJ Baker, Linda Weste, et al. "TEXT reviews October 2011." TEXT 15, no. 2 (2011). http://dx.doi.org/10.52086/001c.31351.

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