Tracking the evolution of social emotions with topic models

Abrams D, Hogg MA (2006) Social identifications: a social psychology of intergroup relations and group processes. Routledge

Azzopardi L, Girolami M, van Risjbergen K, (2003) Investigating the relationship between language model perplexity and ir precision-recall measures. In: Proceedings of the 26th annual international ACM SIGIR conference on research and development in information retrieval. ACM, pp 369–370

Bao S, Zhang L, Yan R, Su Z, Han D, Yu Y (2009) Joint emotion-topic modeling for social affective text mining. In: ICDM’09, pp 699–704

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

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

Chaumartin F-R (2007) Upar7: a knowledge-based system for headline sentiment tagging. In: Proceedings of the 4th international workshop on semantic evaluations. Association for Computational Linguistics, pp 422–425

Das AS, Datar M, Garg A, Rajaram S (2007) Google news personalization: scalable online collaborative filtering. In: Proceedings of the 16th international conference on World Wide Web. ACM, pp 271–280

Heinrich G (2005) Parameter estimation for text analysis. http://www.arbylon.net/publications/text-est.pdf

Iwata T, Watanabe S, Yamada T, Ueda N (2009a) Topic tracking model for analyzing consumer purchase behavior. In: IJCAI, vol 9, pp 1427–1432

Iwata T, Watanabe S, Yamada T, Ueda N (2009b) Topic tracking model for analyzing consumer purchase behavior. In: IJCAI, vol 9, pp 1427–1432

Iwata T, Yamada T, Sakurai Y, Ueda N (2012) Sequential modeling of topic dynamics with multiple timescales. ACM Trans Knowl Discov Data (TKDD) 5(4):19

Koren Y (2010) Collaborative filtering with temporal dynamics. Commun. ACM 53(4):89–97

Kozareva Z, Navarro B, Vázquez S, Montoyo A (2007) Ua-zbsa: a headline emotion classification through web information. In: Proceedings of the 4th international workshop on semantic evaluations. Association for Computational Linguistics, pp 334–337

Le Bon G (1897) The crowd: a study of the popular mind. Macmillan, London

Li B, Zhu X, Li R, Zhang C, Xue X, Wu X (2011) Cross-domain collaborative filtering over time. In: Proceedings of the twenty-second international joint conference on artificial intelligence-volume volume three. AAAI Press, pp 2293–2298

Lin C, He Y (2009) Joint sentiment/topic model for sentiment analysis. In: Proceedings of the 18th ACM conference on Information and knowledge management. ACM, pp 375–384

Lin KH-Y, Chen H-H (2008) Ranking reader emotions using pairwise loss minimization and emotional distribution regression. In: Proceedings of the conference on empirical methods in natural language processing. Association for Computational Linguistics, pp 136–144

Lin KH-Y, Yang C, Chen H-H (2007) What emotions do news articles trigger in their readers? In: Proceedings of the 30th annual international ACM SIGIR conference on research and development in information retrieval. ACM, pp 733–734

Liu J, Dolan P, Pedersen ER (2010) Personalized news recommendation based on click behavior. In: Proceedings of the 15th international conference on intelligent user interfaces. ACM, pp 31–40

Liu K-L, Li W-J, Guo M (2012) Emoticon smoothed language models for twitter sentiment analysis. In: AAAI

Liu Q, Ge Y, Li Z, Chen E, Xiong H (2011) Personalized travel package recommendation. In: Data mining (ICDM), 2011 IEEE 11th international conference on. IEEE, pp 407–416

Mei Q, Ling X, Wondra M, Su H, Zhai C (2007) Topic sentiment mixture: modeling facets and opinions in weblogs. In: Proceedings of the 16th international conference on World Wide Web, ACM, pp 171–180

Minka T (2000) Estimating a dirichlet distribution, Technical report, MIT

Mishne G, de Rijke M (2006) Capturing global mood levels using blog posts. In: AAAI spring symposium: computational approaches to analyzing weblogs, pp 145–152

Mishne G, Glance N (2006) Leave a reply: an analysis of weblog comments. In: Third annual workshop on the Weblogging ecosystem. Edinburgh, Scotland

Pang B, Lee L, Vaithyanathan S (2002) Thumbs up? Sentiment classification using machine learning techniques. In: Proceedings of the ACL-02 conference on empirical methods in natural language processing, vol 10, pp 79–86

Paul M, Girju R (2009) Cross-cultural analysis of blogs and forums with mixed-collection topic models. In: Proceedings of the 2009 conference on empirical methods in natural language processing, vol 3. Association for Computational Linguistics, pp 1408–1417

Paul M, Girju R (2010) A two-dimensional topic-aspect model for discovering multi-faceted topics. Urbana 51:61801

Pinto et al JPGdS (2008) Detection methods for blog trends. Report of Dissertation Master in Informatics and Computing Engineering

Tang H, Tan S, Cheng X (2009) A survey on sentiment detection of reviews. Expert Syst Appl 36(7):10760–10773

Titov I, McDonald R (2008) A joint model of text and aspect ratings for sentiment summarization. Urbana 51:61801

Wang C, Blei D, Heckerman D (2012) Continuous time dynamic topic models. arXiv preprint. arXiv:1206.3298

Wang X, McCallum A (2006) Topics over time: a non-Markov continuous-time model of topical trends. In: Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining. ACM, pp 424–433

Wang X, McCallum A, Wei X (2007) Topical n-grams: phrase and topic discovery, with an application to information retrieval. In: Data mining, 2007. ICDM 2007. Seventh IEEE international conference on. IEEE, pp 697–702

Yang C, Lin KH-Y, Chen H-H (2007) Building emotion lexicon from weblog corpora. In: Proceedings of the 45th annual meeting of the ACL on interactive poster and demonstration sessions. Association for Computational Linguistics, pp 133–136

Yano T, Smith NA (2010) What’s worthy of comment? Content and comment volume in political blogs. In: ICWSM

Yu H, Hatzivassiloglou V (2003) Towards answering opinion questions: separating facts from opinions and identifying the polarity of opinion sentences. In: Proceedings of the 2003 conference on empirical methods in natural language processing, pp 129–136

Zhao J, Dong L, Wu J, Xu K (2012) Moodlens: an emoticon-based sentiment analysis system for chinese tweets. In: Proceedings of the 18th ACM SIGKDD international conference on knowledge discovery and data mining. ACM, pp 1528–1531

Zhu H, Chen E, Xiong H, Cao H, Tian J (2014) Mobile app classification with enriched contextual information. IEEE Trans Mobile Comput 13(7):1550–1563

Zhu H, Xiong H, Ge Y, Chen E (2014) Mobile app recommendations with security and privacy awareness. In: Proceedings of the 20th ACM SIGKDD international conference on knowledge discovery and data mining, KDD. ACM, New York, NY, USA, pp 951–960. doi: 10.1145/2623330.2623705