Research on customer opinion summarization using topic mining and deep neural network
Author
Abstract
Suggested Citation
DOI: 10.1016/j.matcom.2020.12.009
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- Cheng Yi & Zhenhui (Jack) Jiang & Xiuping Li & Xianghua Lu, 2019. "Leveraging User-Generated Content for Product Promotion: The Effects of Firm-Highlighted Reviews," Information Systems Research, INFORMS, vol. 30(3), pages 711-725, September.
- Wang, Fang & Karimi, Sahar, 2019. "This product works well (for me): The impact of first-person singular pronouns on online review helpfulness," Journal of Business Research, Elsevier, vol. 104(C), pages 283-294.
- Yi Zhao & Yu Qiao & Keqing He, 2019. "A Novel Tagging Augmented LDA Model for Clustering," International Journal of Web Services Research (IJWSR), IGI Global, vol. 16(3), pages 59-77, July.
- Zablocki, Agnieszka & Makri, Katerina & Houston, Michael J., 2019. "Emotions Within Online Reviews and their Influence on Product Attitudes in Austria, USA and Thailand," Journal of Interactive Marketing, Elsevier, vol. 46(C), pages 20-39.
- Muhammad Rifki Shihab & Audry Pragita Putri, 2019. "Negative online reviews of popular products: understanding the effects of review proportion and quality on consumers’ attitude and intention to buy," Electronic Commerce Research, Springer, vol. 19(1), pages 159-187, March.
- Gallo, Iñigo & Townsend, Claudia & Alegre, Inés, 2019. "Experiential product framing and its influence on the creation of consumer reviews," Journal of Business Research, Elsevier, vol. 98(C), pages 177-190.
- Ali Daud & Jamal Ahmad Khan & Jamal Abdul Nasir & Rabeeh Ayaz Abbasi & Naif Radi Aljohani & Jalal S. Alowibdi, 2018. "Latent Dirichlet Allocation and POS Tags Based Method for External Plagiarism Detection: LDA and POS Tags Based Plagiarism Detection," International Journal on Semantic Web and Information Systems (IJSWIS), IGI Global, vol. 14(3), pages 53-69, July.
- Hu, Han-fen & Krishen, Anjala S., 2019. "When is enough, enough? Investigating product reviews and information overload from a consumer empowerment perspective," Journal of Business Research, Elsevier, vol. 100(C), pages 27-37.
- Qingqiang Wu & Yichen Kuang & Qingqi Hong & Yingying She, 2019. "Frontier knowledge discovery and visualization in cancer field based on KOS and LDA," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 979-1010, March.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Mohanrasu, S.S. & Janani, K. & Rakkiyappan, R., 2024. "A COPRAS-based Approach to Multi-Label Feature Selection for Text Classification," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 222(C), pages 3-23.
- Lan Xu & Minglu Xi, 2024. "Quantitative Evaluation of Policies for combining Medical and Nursing Care based on the LDA–PMC Model: A Comparative Analysis of Typical Chinese Provinces," Public Organization Review, Springer, vol. 24(2), pages 693-713, June.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Raoofpanah, Iman & Zamudio, César & Groening, Christopher, 2023. "Review reader segmentation based on the heterogeneous impacts of review and reviewer attributes on review helpfulness: A study involving ZIP code data," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
- Lien Thi Kim Nguyen & Hao-Hsuan Chung & Kristine Velasquez Tuliao & Tom M. Y. Lin, 2020. "Using XGBoost and Skip-Gram Model to Predict Online Review Popularity," SAGE Open, , vol. 10(4), pages 21582440209, December.
- Fan Zou & Yupeng Li & Jiahuan Huang, 2022. "Group interaction and evolution of customer reviews based on opinion dynamics towards product redesign," Electronic Commerce Research, Springer, vol. 22(4), pages 1131-1151, December.
- Moradi, Masoud & Dass, Mayukh & Kumar, Piyush, 2023. "Differential effects of analytical versus emotional rhetorical style on review helpfulness," Journal of Business Research, Elsevier, vol. 154(C).
- Stefan Hoffmann & Tom Joerß & Robert Mai & Payam Akbar, 2022. "Augmented reality-delivered product information at the point of sale: when information controllability backfires," Journal of the Academy of Marketing Science, Springer, vol. 50(4), pages 743-776, July.
- He, Yi & You, Ya & Chen, Qimei, 2020. "Our conditional love for the underdog: The effect of brand positioning and the lay theory of achievement on WOM," Journal of Business Research, Elsevier, vol. 118(C), pages 210-222.
- Malik Ishtiaq Ahmed & Raza Muhammad Ali & Hadi Noor Ul & Khan Mahwish J. & Hameed Farhina, 2023. "Social commerce constructs and purchase intention on social commerce sites: investigating the role of affective and cognitive attitudes in managing digital marketing challenges," Management & Marketing, Sciendo, vol. 18(s1), pages 474-495, December.
- Zhanfei Lei & Dezhi Yin & Han Zhang, 2021. "Focus Within or On Others: The Impact of Reviewers’ Attentional Focus on Review Helpfulness," Information Systems Research, INFORMS, vol. 32(3), pages 801-819, September.
- Wang, Fei & Xu, Haifeng & Hou, Ronglin & Zhu, Zhen, 2023. "Designing marketing content for social commerce to drive consumer purchase behaviors: A perspective from speech act theory," Journal of Retailing and Consumer Services, Elsevier, vol. 70(C).
- Xueke Du & Rui Dong & Wenli Li & Yibo Jia & Lirong Chen, 2019. "Online Reviews Matter: How Can Platforms Benefit from Online Reviews?," Sustainability, MDPI, vol. 11(22), pages 1-20, November.
- Xian Wang & Huixian Li & Qingyi Wang & Alison Noble, 2023. "Consumers’ Concerns Regarding Product Quality: Evidence From Chinese Online Reviews," SAGE Open, , vol. 13(1), pages 21582440231, March.
- Yan Wan & Yifan Zhang & Fengting Wang & Yufei Yuan, 2023. "Retailer response to negative online consumer reviews: how can damaged trust be effectively repaired?," Information Technology and Management, Springer, vol. 24(1), pages 37-53, March.
- Colmekcioglu, Nazan & Marvi, Reza & Foroudi, Pantea & Okumus, Fevzi, 2022. "Generation, susceptibility, and response regarding negativity: An in-depth analysis on negative online reviews," Journal of Business Research, Elsevier, vol. 153(C), pages 235-250.
- Jesse L. Barnes & Anjala S. Krishen & Han-fen Hu, 2021. "Untapped Knowledge about Water Reuse: the Roles of Direct and Indirect Educational Messaging," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(8), pages 2601-2615, June.
- Kirubaharan Boobalan & Nishad Nawaz & Harindranath R. M. & Vijayakumar Gajenderan, 2021. "Influence of Altruistic Motives on Organic Food Purchase: Theory of Planned Behavior," Sustainability, MDPI, vol. 13(11), pages 1-14, May.
- Petcharat, Thanatchaphan & Jattamart, Aungkana & Leelasantitham, Adisorn, 2023. "A conceptual model to imply a negative innovation assessment framework on consumer behaviors through the electronic business platforms," Journal of Retailing and Consumer Services, Elsevier, vol. 74(C).
- Saurabh Gupta & Sadananda Prusty, 2024. "Does consumer empowerment influence e-payment systems adoption? A digital consumer-centric perspective," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 29(3), pages 1-15, September.
- Nima Jalali & Sangkil Moon & Moon-Yong Kim, 2023. "Profiling diverse reviewer segments using online reviews of service industries," Journal of Marketing Analytics, Palgrave Macmillan, vol. 11(2), pages 130-148, June.
- Ante, Lennart, 2023. "How Elon Musk's Twitter activity moves cryptocurrency markets," Technological Forecasting and Social Change, Elsevier, vol. 186(PA).
- Xue Pan & Lei Hou & Kecheng Liu, 2022. "The effect of product distance on the eWOM in recommendation network," Electronic Commerce Research, Springer, vol. 22(3), pages 901-924, September.
More about this item
Keywords
Product reviews; Topic mining; Deep neural network;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:matcom:v:185:y:2021:i:c:p:88-114. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/mathematics-and-computers-in-simulation/ .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.