Analyzing user reviews in tourism with topic models

• Agarwal D, Chen BC (2010). flda: matrix factorization through latent dirichlet allocation. In: Proceedings of the third ACM international conference on web search and data mining, pp 91–100

• Aletras N, Stevenson M (2014) Labelling topics using unsupervised graph-based methods. In: Proceedings of the association for computational linguistics, pp 631–636

• Blei D, Lafferty J (2006a) Correlated topic models. Adv Neural Info Process Syst 18:147

  Google Scholar 

• Blei DM (2012) Probabilistic topic models. Commun ACM 55(4):77–84

  Article  Google Scholar 

• Blei DM, Lafferty JD (2006b). Dynamic topic models. In: Proceedings of the 23rd international conference on machine learning, pp 113–120

• Blei DM, Ng AY, Jordan MI (2003) Latent dirichlet allocation. J Mach Learn Res 3:993–1022

  Google Scholar 

• Chang J, Blei DM (2009) Relational topic models for document networks. In: International conference on artificial intelligence and statistics, pp 81–88

• Deerwester SC, Dumais ST, Landauer TK, Furnas GW, Harshman RA (1990) Indexing by latent semantic analysis. JASIS 41(6):391–407

  Article  Google Scholar 

• Dippelreiter B, Grün C, Pöttler M, Seidel I, Berger H, Dittenbach M, Pesenhofer A (2008) Online tourism communities on the path to web 2.0: an evaluation. Info Technol Tour 10(4):329–353

• Gretzel U, Yoo KH (2008) Use and impact of online travel reviews. In: Information and communication technologies in tourism 2008 (ENTER). Springer, Heidelberg, pp 35–46

• Herlocker JL, Konstan JA, Borchers A, Riedl J (1999) An algorithmic framework for performing collaborative filtering. In: Proceedings of the 22nd annual international ACM SIGIR conference on research and development in information retrieval, pp 230–237

• Hofmann T (1999) Probabilistic latent semantic indexing. In: Proceedings of the 22nd annual international ACM SIGIR conference on research and development in information retrieval, pp 50–57

• Jannach D, Zanker M, Fuchs M (2014) Leveraging multi-criteria customer feedback for satisfaction analysis and improved recommendations. Inf Technol Tour 14(2):119–149

  Article  Google Scholar 

• Lau JH, Grieser K, Newman D, Baldwin T (2011). Automatic labelling of topic models. In: Proceedings of the 49th annual meeting of the association for computational linguistics: human language technologies, vol 1, pp 1536–1545

• Lin C, He Y, Everson R, Rüger S (2012) Weakly supervised joint sentiment-topic detection from text. IEEE Trans Knowl Data Eng 24:1134–1145

  Article  Google Scholar 

• Litvin SW, Goldsmith RE, Pan B (2008) Electronic word-of-mouth in hospitality and tourism management. Tour Manag 29(3):458–468

  Article  Google Scholar 

• Magatti D, Calegari S, Ciucci D, Stella F (2009) Automatic labeling of topics. In: Intelligent systems design and applications, 2009. ISDA’09. Ninth international conference on, pp 1227–1232

• Manning CD, Raghavan P, Schütze H (2008) Introduction to information retrieval. Cambridge University Press, New York

  Book  Google Scholar 

• McAuley J, Leskovec J (2013) Hidden factors and hidden topics: understanding rating dimensions with review text. In: Proceedings of the 7th ACM conference on recommender systems, pp 165–172

• Mcauliffe JD, Blei DM (2008) Supervised topic models. In: Advances in neural information processing systems, pp 121–128

• Mnih A, Salakhutdinov R (2007) Probabilistic matrix factorization. In: Advances in neural information processing systems, pp 1257–1264

• Pang B, Lee L (2008) Opinion mining and sentiment analysis. Found Trends Inf Retr 2(1–2):1–135

  Article  Google Scholar 

• Rossetti M, Stella F, Cao L, Zanker M (2015) Analyzing user reviews in tourism with topic models. In: Information and communication technologies in tourism 2015 (ENTER). Springer, Heidelberg, pp 47–58

• Sarwar B, Karypis G, Konstan J, Riedl J (2001) Item-based collaborative filtering recommendation algorithms. In: Proceedings of the 10th international conference on World Wide Web, pp 285–295

• Schmallegger D, Carson D (2008) Blogs in tourism: changing approaches to information exchange. J Vacat Mark 14(2):99–110

  Article  Google Scholar 

• Wang C, Blei DM (2011) Collaborative topic modeling for recommending scientific articles. In: Proceedings of the 17th ACM SIGKDD international conference on knowledge discovery and data mining, pp 448–456

• Wang H, Lu Y, Zhai C (2010) Latent aspect rating analysis on review text data: a rating regression approach. In: Proceedings of the 16th ACM SIGKDD international conference on knowledge discovery and data mining, pp 783–792

• Xiang Z, Gretzel U (2010) Role of social media in online travel information search. Tour Manag 31(2):179–188

  Article  Google Scholar 

• Xiang Z, Gretzel U, Fesenmaier DR (2009) Semantic representation of tourism on the internet. J Travel Res 47(4):440–453

  Article  Google Scholar 

• Ye Q, Law R, Gu B, Chen W (2011) The influence of user-generated content on traveler behavior: an empirical investigation on the effects of e-word-of-mouth to hotel online bookings. Comput Human Behav 27(2):634–639

  Article  Google Scholar 

• Yoo K-H, Gretzel U (2009) What motivates consumers to write online travel reviews? Inform Technol Tour 10(4):283–295

  Article  Google Scholar 

• Yoo KH, Lee Y, Gretzel U, Fesenmaier DR (2009) Trust in travel-related consumer generated media. In: Information and communication technologies in tourism 2009 (ENTER). Springer, New York, pp 49–59

• Zehrer A, Crotts JC, Magnini VP (2011) The perceived usefulness of blog postings: an extension of the expectancy-disconfirmation paradigm. Tour Manag 32(1):106–113

  Article  Google Scholar 

Download references