A Natural Language Processing Approach to Mine Online Reviews Using Topic Modelling
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[1] Arjun Mukherjee,et al. Aspect Extraction with Automated Prior Knowledge Learning , 2014, ACL.
[2] Arpan Kumar Kar. What Affects Usage Satisfaction in Mobile Payments? Modelling User Generated Content to Develop the “Digital Service Usage Satisfaction Model” , 2020, Information systems frontiers : a journal of research and innovation.
[3] Hongfei Yan,et al. Jointly Modeling Aspects and Opinions with a MaxEnt-LDA Hybrid , 2010, EMNLP.
[4] S. Jia. Motivation and satisfaction of Chinese and U.S. tourists in restaurants: A cross-cultural text mining of online reviews , 2020, Tourism Management.
[5] P. Cortez,et al. A text mining and topic modelling perspective of ethnic marketing research , 2019, Journal of Business Research.
[6] Michael I. Jordan,et al. Latent Dirichlet Allocation , 2001, J. Mach. Learn. Res..
[7] Chastine Fatichah,et al. Mobile App Review Labeling Using LDA Similarity and Term Frequency-Inverse Cluster Frequency (TF-ICF) , 2018, 2018 10th International Conference on Information Technology and Electrical Engineering (ICITEE).
[8] Alain Abran,et al. A systematic literature review: Opinion mining studies from mobile app store user reviews , 2017, J. Syst. Softw..
[9] Zhijun Yan,et al. An Lda and Synonym Lexicon Based Approach to Product Feature Extraction from Online Consumer Product Reviews , 2013 .
[10] Konrad P. Körding,et al. A high-reproducibility and high-accuracy method for automated topic classification , 2014, ArXiv.
[11] Cédric Bousquet,et al. Mining Patients' Narratives in Social Media for Pharmacovigilance: Adverse Effects and Misuse of Methylphenidate , 2018, Front. Pharmacol..
[12] Sílvia Delgado Olabarriaga,et al. Predicting Publication Inclusion for Diagnostic Accuracy Test Reviews Using Random Forests and Topic Modelling , 2017, CLEF.
[13] Sergey I. Nikolenko,et al. Topic modelling for qualitative studies , 2017, J. Inf. Sci..
[14] D. Blei,et al. Exploiting affinities between topic modeling and the sociological perspective on culture: Application to newspaper coverage of U.S. government arts funding , 2013 .
[15] Arjun Mukherjee,et al. Aspect Extraction through Semi-Supervised Modeling , 2012, ACL.
[16] Nimisha S. Fal Dessai,et al. A Topic Modeling based Approach for Mining Online Social Media Data , 2019, 2019 2nd International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT).
[17] L'ubos Steskal,et al. Structure and Content of the Discourse on Climate Change in the Blogosphere: The Big Picture , 2015, Climate Change Communication and the Internet.
[18] Frédéric Andrès,et al. A Framework for Automated Rating of Online Reviews Against the Underlying Topics , 2017, ACM Southeast Regional Conference.
[19] Olga Vechtomova,et al. Discovering aspects of online consumer reviews , 2016, J. Inf. Sci..
[20] Justin Grimmer,et al. A Bayesian Hierarchical Topic Model for Political Texts: Measuring Expressed Agendas in Senate Press Releases , 2010, Political Analysis.
[21] David M. Blei,et al. Probabilistic topic models , 2012, Commun. ACM.
[22] Olessia Koltsova,et al. Mapping the public agenda with topic modeling: The case of the Russian livejournal , 2013 .
[23] Jaegul Choo,et al. When Bitcoin encounters information in an online forum: Using text mining to analyse user opinions and predict value fluctuation , 2017, PloS one.
[24] Wenqiang Dai,et al. Topic analysis of online reviews for two competitive products using latent Dirichlet allocation , 2018, Electron. Commer. Res. Appl..
[25] Paulo Rita,et al. How to predict explicit recommendations in online reviews using text mining and sentiment analysis , 2020, Journal of Hospitality and Tourism Management.
[26] Khalid Alfalqi,et al. A Survey of Topic Modeling in Text Mining , 2015 .
[27] Payal Gulati,et al. Implementation and comparison of topic modeling techniques based on user reviews in e-commerce recommendations , 2020, Journal of Ambient Intelligence and Humanized Computing.
[28] Jaakko Peltonen,et al. The usage of large data sets in online consumer behaviour: A bibliometric and computational text-mining–driven analysis of previous research , 2020 .
[29] Xiaojun Wan,et al. Representation Learning for Aspect Category Detection in Online Reviews , 2015, AAAI.
[30] Noémie Elhadad,et al. An Unsupervised Aspect-Sentiment Model for Online Reviews , 2010, NAACL.
[31] Ivan Titov,et al. Modeling online reviews with multi-grain topic models , 2008, WWW.
[32] Ji Zhang,et al. Coupling topic modelling in opinion mining for social media analysis , 2017, WI.
[33] Xianghua Fu,et al. Multi-aspect sentiment analysis for Chinese online social reviews based on topic modeling and HowNet lexicon , 2013, Knowl. Based Syst..
[34] Carina Jacobi,et al. Quantitative analysis of large amounts of journalistic texts using topic modelling , 2016, Rethinking Research Methods in an Age of Digital Journalism.
[35] Stuart J. Barnes,et al. Mining meaning from online ratings and reviews: Tourist satisfaction analysis using latent dirichlet allocation , 2017 .
[36] Herry Irawan,et al. Mining Tourist's Perception toward Indonesia Tourism Destination Using Sentiment Analysis and Topic Modelling , 2019, CCIOT.
[37] Martin Ester,et al. ILDA: interdependent LDA model for learning latent aspects and their ratings from online product reviews , 2011, SIGIR.
[38] Filipe R. Lucini,et al. Text mining approach to explore dimensions of airline customer satisfaction using online customer reviews , 2020 .
[39] Güzin Özdağoğlu,et al. Topic modelling-based decision framework for analysing digital voice of the customer , 2018 .
[40] Weizhong Zhao,et al. A heuristic approach to determine an appropriate number of topics in topic modeling , 2015, BMC Bioinformatics.
[41] Y. Kee,et al. Scoping Review of Mindfulness Research: a Topic Modelling Approach , 2019, Mindfulness.
[42] Bing Liu,et al. Opinion Mining and Sentiment Analysis , 2011 .
[43] Mihaela Cocea,et al. Text stream mining for Massive Open Online Courses: review and perspectives , 2014 .
[44] Wei Wang,et al. Sentiment analysis of online product reviews with Semi-supervised topic sentiment mixture model , 2010, 2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery.
[45] Alice H. Oh,et al. A Hierarchical Aspect-Sentiment Model for Online Reviews , 2013, AAAI.
[46] Erik Cambria,et al. Modelling customer satisfaction from online reviews using ensemble neural network and effect-based Kano model , 2019, Int. J. Prod. Res..
[47] Matthias Eickhoff,et al. Topic modelling Methodology: its Use in Information Systems and other Managerial disciplines , 2017, ECIS.
[48] Mark Lycett,et al. Identifying patient experience from online resources via sentiment analysis and topic modelling , 2016, BDCAT.
[49] Abhishek Kumar,et al. Aspect based Sentiment Oriented Summarization of Hotel Reviews , 2017 .
[50] Franciska de Jong,et al. ADM-LDA: An aspect detection model based on topic modelling using the structure of review sentences , 2014, J. Inf. Sci..
[51] Lei Zhang,et al. A Survey of Opinion Mining and Sentiment Analysis , 2012, Mining Text Data.
[52] Barkha Bansal,et al. Hybrid attribute based sentiment classification of online reviews for consumer intelligence , 2018, Applied Intelligence.
[53] Claire Cardie,et al. Multi-aspect Sentiment Analysis with Topic Models , 2011, 2011 IEEE 11th International Conference on Data Mining Workshops.
[54] Ning Chen,et al. AR-miner: mining informative reviews for developers from mobile app marketplace , 2014, ICSE.
[55] Beibei Li,et al. Designing Ranking Systems for Hotels on Travel Search Engines by Mining User-Generated and Crowd-Sourced Content , 2011, Mark. Sci..
[56] R. Law,et al. Hospitality and Tourism Online Reviews: Recent Trends and Future Directions , 2015 .
[57] Dong-Hong Ji,et al. A short text sentiment-topic model for product reviews , 2018, Neurocomputing.
[58] Yang Liu,et al. Wisdom of crowds: Conducting importance-performance analysis (IPA) through online reviews , 2019, Tourism Management.