Abstract
In Chap. 9, we studied the extraction of structured data from Web pages. The Web also contains a huge amount of information in unstructured texts. Analyzing these texts is of great importance as well and perhaps even more important than extracting structured data because of the sheer volume of valuable information of almost any imaginable type contained in text. In this chapter, we only focus on mining opinions which indicate positive or negative sentiments. The task is technically challenging and practically very useful. For example, businesses always want to find public or consumer opinions on their products and services. Potential customers also want to know the opinions of existing users before they use a service or purchase a product.
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Bibliography
Andreevskaia, A. and S. Bergler. Mining WordNet for fuzzy sentiment: Sentiment tag extraction from WordNet glosses. In Proceedings of Conference of the European Chapter of the Association for Computational Linguistics (EACL-06), 2006.
Aue, A. and M. Gamon. Customizing sentiment classifiers to new domains: a case study. In Proceedings of Recent Advances in Natural Language Processing (RANLP-2005), 2005.
Beineke, P., T. Hastie, C. Manning, and S. Vaithyanathan. An exploration of sentiment summarization. In Proceedings of AAAI Spring Symposium on Exploring Attitude and Affect in Text: Theories and Applications, 2003.
Bethard, S., H. Yu, A. Thornton, V. Hatzivassiloglou, and D. Jurafsky. Automatic extraction of opinion propositions and their holders. In Proceedings of the AAAI Spring Symposium on Exploring Attitude and Affect in Text, 2004.
Blei, D., A. Ng, and M. Jordan. Latent dirichlet allocation. The Journal of Machine Learning Research, 2003, 3: p. 993–1022.
Blitzer, J., M. Dredze, and F. Pereira. Biographies, bollywood, boom-boxes and blenders: Domain adaptation for sentiment classification. In Proceedings of Annual Meeting of the Association for Computational Linguistics (ACL-2007), 2007.
Breck, E., Y. Choi, and C. Cardie. Identifying expressions of opinion in context. In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI-2007), 2007.
Brody, S. and S. Elhadad. An Unsupervised Aspect-Sentiment Model for Online Reviews. In Proceedings of The 2010 Annual Conference of the North American Chapter of the ACL, 2010.
Carenini, G., R. Ng, and A. Pauls. Interactive multimedia summaries of evaluative text. In Proceedings of 10th Intl. Conf. on Intelligent User Interfaces (IUI-2006), 2006.
Carenini, G., R. Ng, and A. Pauls. Multi-document summarization of evaluative text. In Proceedings of the European Chapter of the Association for Computational Linguistics (EACL-2006), 2006.
Carenini, G., R. Ng, and E. Zwart. Extracting knowledge from evaluative text. In Proceedings of Third Intl. Conf. on Knowledge Capture (K-CAP-05), 2005.
Choi, Y. and C. Cardie. Hierarchical sequential learning for extracting opinions and their attributes. In Proceedings of Annual Meeting of the Association for Computational Linguistics (ACL-2010), 2010.
Choi, Y., C. Cardie, E. Riloff, and S. Patwardhan. Identifying sources of opinions with conditional random fields and extraction patterns. In Proceedings of the Human Language Technology Conference and the Conference on Empirical Methods in Natural Language Processing (HLT/EMNLP-2005), 2005.
Das, S. and M. Chen. Yahoo! for Amazon: Extracting market sentiment from stock message boards. In Proceedings of APFA-2001, 2001.
Dave, K., S. Lawrence, and D. Pennock. Mining the peanut gallery: Opinion extraction and semantic classification of product reviews. In Proceedings of International Conference on World Wide Web (WWW-2003), 2003.
Ding, X. and B. Liu. Resolving Object and Attribute Coreference in Opinion Mining. In Proceedings of International Conference on Computational Linguistics (COLING-2010), 2010.
Ding, X., B. Liu, and P. Yu. A holistic lexicon-based approach to opinion mining. In Proceedings of the Conference on Web Search and Web Data Mining (WSDM-2008), 2008.
Ding, X., B. Liu, and L. Zhang. Entity discovery and assignment for opinion mining applications. In Proceedings of ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009), 2009.
Dragut, E., C. Yu, P. Sistla, and W. Meng. Construction of a sentimental word dictionary. In Proceedings of ACM International Conference on Information and Knowledge Management (CIKM-2010), 2010.
Eguchi, K. and V. Lavrenko. Sentiment retrieval using generative models. In Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP-2006), 2006.
Esuli, A. and F. Sebastiani. Determining term subjectivity and term orientation for opinion mining. In Proceedings of Conf. of the European Chapter of the Association for Computational Linguistics (EACL-2006),2006.
Esuli, A. and F. Sebastiani. Determining the semantic orientation of terms through gloss classification. In Proceedings of ACM International Conference on Information and Knowledge Management (CIKM-2005), 2005.
Esuli, A. and F. Sebastiani. SentiWordNet: A publicly available lexical resource for opinion mining. In Proceedings of Language Resources and Evaluation (LREC-2006), 2006.
Fiszman, M., D. Demner-Fushman, F. Lang, P. Goetz, and T. Rindflesch. Interpreting comparative constructions in biomedical text. In Proceedings of BioNLP, 2007.
Freitag, D. and A. McCallum. Information extraction with HMM structures learned by stochastic optimization. In Proceedings of National Conf. on Artificial Intelligence (AAAI-2000), 2000.
Gamon, M. Sentiment classification on customer feedback data: noisy data, large feature vectors, and the role of linguistic analysis. In Proceedings of Intl. Conf. on Computational Linguistics, 2004.
Gamon, M., A. Aue, S. Corston-Oliver, and E. Ringger. Pulse: Mining customer opinions from free text. Advances in Intelligent Data Analysis VI, 2005: p. 121–132.
Ganapathibhotla, M. and B. Liu. Mining opinions in comparative sentences. In Proceedings of International Conference on Computational Linguistics (Coling-2008), 2008.
Ghahramani, Z. and K. Heller. Bayesian sets. Advances in Neural Information Processing Systems, 2006, 18: p. 435.
Ghani, R., K. Probst, Y. Liu, M. Krema, and A. Fano. Text mining for product attribute extraction. ACM SIGKDD Explorations Newsletter, 2006, 8(1): p. 41–48.
Ghose, A. and P. Ipeirotis. Designing novel review ranking systems: predicting the usefulness and impact of reviews. In Proceedings of the International Conference on Electronic Commerce 2007.
Grefenstette, G., Y. Qu, D. Evans, and J. Shanahan. Validating the coverage of lexical resources for affect analysis and automatically classifying new words along semantic axes. In Proceedings of AAAI Spring Symposium on Exploring Attitude and Affect in Text: Theories and Applications, 2004.
Guo, H., H. Zhu, Z. Guo, X. Zhang, and Z. Su. Product feature categorization with multilevel latent semantic association. In Proceedings of ACM International Conference on Information and Knowledge Management (CIKM-2009), 2009.
Hassan, A. and D. Radev. Identifying text polarity using random walks. In Proceedings of Annual Meeting of the Association for Computational Linguistics (ACL-2010), 2010.
Hatzivassiloglou, V. and K. McKeown. Predicting the semantic orientation of adjectives. In Proceedings of Annual Meeting of the Association for Computational Linguistics (ACL-1997), 1997.
Hatzivassiloglou, V. and J. Wiebe. Effects of adjective orientation and gradability on sentence subjectivity. In Proceedings of Interntional Conference on Computational Linguistics (COLING-2000), 2000.
Hu, M. and B. Liu. Mining and summarizing customer reviews. In Proceedings of ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2004), 2004.
Indurkhya, N. and F. Damerau. Handbook of Natural Language Processing. Chapman & Hall/Crc Machine Learning & Pattern Recognition, 2010.
Jakob, N. and I. Gurevych. Extracting Opinion Targets in a Single-and Cross-Domain Setting with Conditional Random Fields. In Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP-2010), 2010.
Jijkoun, V., M.d. Rijke, and W. Weerkamp. Generating Focused Topic-Specific Sentiment Lexicons. In Proceedings of Annual Meeting of the Association for Computational Linguistics (ACL-2010), 2010.
Jin, W. and H. Ho. A novel lexicalized HMM-based learning framework for web opinion mining. In Proceedings of International Conference on Machine Learning (ICML-2009), 2009.
Jindal, N. and B. Liu. Identifying comparative sentences in text documents. In Proceedings of ACM SIGIR Conf. on Research and Development in Information Retrieval (SIGIR-2006), 2006.
Jindal, N. and B. Liu. Mining comparative sentences and relations. In Proceedings of National Conf. on Artificial Intelligence (AAAI-2006), 2006.
Jindal, N. and B. Liu. Opinion spam and analysis. In Proceedings of the Conference on Web Search and Web Data Mining (WSDM-2008), 2008.
Jindal, N. and B. Liu. Review spam detection. In Proceedings of WWW (Poster paper), 2007.
Jindal, N., B. Liu, and E. Lim. Finding Unusual Review Patterns Using Unexpected Rules. In Proceedings of ACM International Conference on Information and Knowledge Management (CIKM-2010), 2010.
Joachims, T. Optimizing search engines using clickthrough data. In Proceedings of the ACM Conference on Knowledge Discovery and Data Mining (KDD-2002), 2002.
Kaji, N. and M. Kitsuregawa. Automatic construction of polarity-tagged corpus from HTML documents. In Proceedings of COLING/ACL 2006 Main Conference Poster Sessions (COLING-ACL-2006), 2006.
Kaji, N. and M. Kitsuregawa. Building lexicon for sentiment analysis from massive collection of HTML documents. In Proceedings of the Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-2007), 2007.
Kamps, J., M. Marx, R. Mokken, and M. De Rijke. Using WordNet to measure semantic orientation of adjectives. In Proc. of LREC-2004, 2004.
Kanayama, H. and T. Nasukawa. Fully automatic lexicon expansion for domain-oriented sentiment analysis. In Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP-2006), 2006.
Kennedy, C. Comparatives, Semantics of. In Encyclopedia of Language and Linguistics, Second Edition. 2005, Elsevier.
Kim, S. and E. Hovy. Automatic identification of pro and con reasons in online reviews. In Proceedings of COLING/ACL 2006 Main Conference Poster Sessions (ACL-2006), 2006.
Kim, S. and E. Hovy. Crystal: Analyzing predictive opinions on the web. In Proceedings of the Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP/CoNLL-2007), 2007.
Kim, S. and E. Hovy. Determining the sentiment of opinions. In Proceedings of Interntional Conference on Computational Linguistics (COLING-2004), 2004.
Kim, S. and E. Hovy. Identifying and analyzing judgment opinions. In Proceedings of Human Language Technology Conference of the North American Chapter of the ACL, 2006.
Kim, S., P. Pantel, T. Chklovski, and M. Pennacchiotti. Automatically assessing review helpfulness. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP-2006), 2006: Association for Computational Linguistics.
Kobayashi, N., R. Iida, K. Inui, and Y. Matsumoto. Opinion mining on the Web by extracting subject-attribute-value relations. In Proceedings of AAAICAAW' 06, 2006.
Kobayashi, N., K. Inui, and Y. Matsumoto. Extracting aspect-evaluation and aspect-of relations in opinion mining. In Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2007.
Ku, L., H. Ho, and H. Chen. Novel relationship discovery using opinions mined from the web. In Proceedings of National Conf. on Artificial Intelligence (AAAI-2006), 2006.
Ku, L., Y. Liang, and H. Chen. Opinion extraction, summarization and tracking in news and blog corpora. In Proceedings of AAAI-CAAW'06, 2006.
Lafferty, J., A. McCallum, and F. Pereira. Conditional random fields: Probabilistic models for segmenting and labeling sequence data. In Proceedings of International Conference on Machine Learning (ICML-2001), 2001.
Lee, L. Measures of distributional similarity. In Proceedings of Annual Meeting of the Association for Computational Linguistics (ACL-1999), 1999.
Li, B., L. Zhou, S. Feng, and K.-F. Wong. A Unified Graph Model for Sentence-Based Opinion Retrieval. In Proceedings of Annual Meeting of the Association for Computational Linguistics (ACL-2010), 2010.
Li, S., C.-R. Huang, G. Zhou, and S.Y.M. Lee. Employing Personal/Impersonal Views in Supervised and Semi-Supervised Sentiment Classification. In Proceedings of Annual Meeting of the Association for Computational Linguistics (ACL-2010), 2010.
Li, S., C. Lin, Y. Song, and Z. Li. Comparable entity mining from comparative questions. In Proceedings of Annual Meeting of the Association for Computational Linguistics (ACL-2010), 2010.
Li, X., L. Zhang, B. Liu, and S. Ng. Distributional similarity vs. PU learning for entity set expansion. In Proceedings of Annual Meeting of the Association for Computational Linguistics (ACL-2010), 2010.
Lim, E., V. Nguyen, N. Jindal, B. Liu, and H. Lauw. Detecting Product Review Spammers using Rating Behaviors. In Proceedings of ACM International Conference on Information and Knowledge Management (CIKM-2010), 2010.
Lin, C. and Y. He. Joint sentiment/topic model for sentiment analysis. In Proceedings of ACM International Conference on Information and Knowledge Management (CIKM-2009), 2009.
Liu, B. Sentiment analysis and subjectivity. In Handbook of Natural Language Processing, Second Edition, N. Indurkhya and F.J. Damerau, Editors. 2010.
Liu, B. Web data mining: Exploring Hyperlinks, Contents, and Usage Data, The First Edition. 2006: Springer.
Liu, B., M. Hu, and J. Cheng. Opinion observer: Analyzing and comparing opinions on the web. In Proceedings of International Conference on World Wide Web (WWW-2005), 2005.
Liu, J., Y. Cao, C. Lin, Y. Huang, and M. Zhou. Low-quality product review detection in opinion summarization. In Proceedings of the Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL-2007), 2007.
Liu, Y., X. Huang, A. An, and X. Yu. ARSA: a sentiment-aware model for predicting sales performance using blogs. In Proceedings of ACM SIGIR Conf. on Research and Development in Information Retrieval (SIGIR-2007), 2007.
Lu, Y., H. Duan, H. Wang, and C. Zhai. Exploiting Structured Ontology to Organize Scattered Online Opinions. In Proceedings of Interntional Conference on Computational Linguistics (COLING-2010), 2010.
Lu, Y. and C. Zhai. Opinion integration through semi-supervised topic modeling. In Proceedings of International Conference on World Wide Web (WWW-2008), 2008.
Lu, Y., C. Zhai, and N. Sundaresan. Rated aspect summarization of short comments. In Proceedings of International Conference on World Wide Web (WWW-2009), 2009.
Macdonald, C., I. Ounis, and I. Soboroff. Overview of the TREC 2007 blog track, 2007.
McDonald, R., K. Hannan, T. Neylon, M. Wells, and J. Reynar. Structured models for fine-to-coarse sentiment analysis. In Proceedings of Annual Meeting of the Association for Computational Linguistics (ACL-2007), 2007.
Mei, Q., X. Ling, M. Wondra, H. Su, and C. Zhai. Topic sentiment mixture: modeling facets and opinions in weblogs. In Proceedings of International Conference on World Wide Web (WWW-2007), 2007.
Miller, G., R. Beckwith, C. Fellbaum, D. Gross, and K. Miller. WordNet: An on-line lexical database. 1990: Oxford Univ. Press.
Moltmann, F. Coordination and Comparatives, PhD thesis. 1987, MIT: Cambridge.
Morinaga, S., K. Yamanishi, K. Tateishi, and T. Fukushima. Mining product reputations on the web. In Proceedings of ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2002), 2002.
Mukherjee, A., B. Liu, J. Wang, N. Glance, and N. Jindal. Detecting Group Review Spam. In Proceedings of International Conference on World Wide Web (WWW-2011, poster paper), 2011.
Narayanan, R., B. Liu, and A. Choudhary. Sentiment analysis of conditional sentences. In Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP-2009), 2009.
Nasukawa, T. and J. Yi. Sentiment analysis: Capturing favorability using natural language processing. In Proceedings of the K-CAP-03, 2nd Intl. Conf. on Knowledge Capture, 2003.
Ng, V., S. Dasgupta, and S. Arifin. Examining the role of linguistic knowledge sources in the automatic identification and classification of reviews. In Proceedings of COLING/ACL 2006 Main Conference Poster Sessions (COLING/ACL-2006), 2006.
Nigam, K. and M. Hurst. Towards a robust metric of opinion. In Proceedings of AAAI Spring Symp. on Exploring Attitude and Affect in Text, 2004.
Nishikawa, H., T. Hasegawa, Y. Matsuo, and G. Kikui. Optimizing informativeness and readability for sentiment summarization. In Proceedings of Annual Meeting of the Association for Computational Linguistics (ACL-2010), 2010.
Pan, S., X. Ni, J. Sun, Q. Yang, and Z. Chen. Cross-domain sentiment classification via spectral feature alignment. In Proceedings of International Conference on World Wide Web (WWW-2010), 2010.
Pang, B. and L. Lee. Opinion mining and sentiment analysis. Foundations and Trends in Information Retrieval, 2008, 2(1–2): p. 1–135.
Pang, B. and L. Lee. Seeing stars: Exploiting class relationships for sentiment categorization with respect to rating scales. In Proceedings of Meeting of the Association for Computational Linguistics (ACL-2005), 2005.
Pang, B. and L. Lee. A sentimental education: Sentiment analysis using subjectivity summarization based on minimum cuts. In Proceedings of Meeting of the Association for Computational Linguistics (ACL-2004), 2004.
Pang, B., L. Lee, and S. Vaithyanathan. Thumbs up?: sentiment classification using machine learning techniques. In Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP-2002), 2002.
Pantel, P., E. Crestan, A. Borkovsky, A. Popescu, and V. Vyas. Web-scale distributional similarity and entity set expansion. In Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP-2009), 2009.
Parrott, W. Emotions in social psychology: Essential readings. 2001: Psychology Pr.
Paul, M., C. Zhai, and R. Girju. Summarizing Contrastive Viewpoints in Opinionated Text. In Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP-2010), 2010.
Polanyi, L. and A. Zaenen. Contextual valence shifters. In Proceedings of the AAAI Spring Symposium on Exploring Attitude and Affect in Text, 2004.
Popescu, A. and O. Etzioni. Extracting product features and opinions from reviews. In Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP-2005), 2005.
Qiu, G., B. Liu, J. Bu, and C. Chen. Expanding domain sentiment lexicon through double propagation. In Proceedings of International Joint Conference on Artificial Intelligence (IJCAI-2009), 2009.
Qiu, G., B. Liu, J. Bu, and C. Chen. Opinion Word Expansion and Target Extraction through Double Propagation. To appear in Computational Linguistics, 2010.
Riloff, E., S. Patwardhan, and J. Wiebe. Feature subsumption for opinion analysis. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP-2006), 2006.
Riloff, E. and J. Wiebe. Learning extraction patterns for subjective expressions. In Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP-2003), 2003.
Santorini, B. Part-of-speech tagging guidelines for the Penn Treebank Project. 1990: University of Pennsylvania, School of Engineering and Applied Science, Dept. of Computer and Information Science.
Sarawagi, S. Information extraction. Foundations and Trends in Databases, 2008, 1(3): p. 261–377.
Seki, Y., K. Eguchi, N. Kando, and M. Aono. Opinion-focused summarization and its analysis at DUC 2006. In Proceedings of the Document Understanding Conference (DUC), 2006.
Shanahan, J., Y. Qu, and J. Wiebe. Computing attitude and affect in text: theory and applications. 2006: Springer-Verlag.
Stone, P. The general inquirer: A computer approach to content analysis. Journal of Regional Science, 1968, 8(1).
Stoyanov, V. and C. Cardie. Partially supervised coreference resolution for opinion summarization through structured rule learning. In Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP-2006), 2006.
Stoyanov, V. and C. Cardie. Toward opinion summarization: Linking the sources. In Proceedings of Workshop on Sentiment and Subjectivity in Text, 2006.
Su, Q., X. Xu, H. Guo, Z. Guo, X. Wu, X. Zhang, B. Swen, and Z. Su. Hidden sentiment association in chinese web opinion mining. In Proceedings of International Conference on World Wide Web (WWW-2008), 2008.
Takamura, H., T. Inui, and M. Okumura. Extracting semantic orientations of phrases from dictionary. In Proceedings of the Joint Human Language Technology/North American Chapter of the ACL Conference (HLT-NAACL-2007), 2007.
Tata, S. and B. Di Eugenio. Generating fine-grained reviews of songs from album reviews. In Proceedings of Annual Meeting of the Association for Computational Linguistics (ACL-2010), 2010.
Tesniere, L. Élements de syntaxe structurale: Préf. de Jean Fourquet. 1959: C. Klincksieck.
Titov, I. and R. McDonald. A joint model of text and aspect ratings for sentiment summarization. In Proceedings of Annual Meeting of the Association for Computational Linguistics (ACL-2008), 2008.
Titov, I. and R. McDonald. Modeling online reviews with multi-grain topic models. In Proceedings of International Conference on World Wide Web (WWW-2008), 2008.
Tong, R. An operational system for detecting and tracking opinions in online discussion. In Proceedings of SIGIR Workshop on Operational Text Classification, 2001.
Tsur, O., D. Davidov, and A. Rappoport. In Proceedings of the Fourth International AAAI Conference on Weblogs and Social Media (ICWSM-2010). 2010.
Turney, P. Thumbs up or thumbs down?: semantic orientation applied to unsupervised classification of reviews. In Proceedings of Annual Meeting of the Association for Computational Linguistics (ACL-2002), 2002.
Valitutti, A., C. Strapparava, and O. Stock. Developing affective lexical resources. PsychNology Journal, 2004, 2(1): p. 61–83.
Wang, H., Y. Lu, and C. Zhai. Latent aspect rating analysis on review text data: a rating regression approach. In Proceedings of ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2010), 2010.
Wei, W. and J. Gulla. Sentiment learning on product reviews via sentiment ontology tree. In Proceedings of Annual Meeting of the Association for Computational Linguistics (ACL-2010), 2010.
Wiebe, J. Learning subjective adjectives from corpora. In Proceedings of National Conf. on Artificial Intelligence (AAAI-2000), 2000.
Wiebe, J., R. Bruce, and T. O'Hara. Development and use of a gold-standard data set for subjectivity classifications. In Proceedings of the Association for Computational Linguistics (ACL-1999), 1999.
Wiebe, J. and R. Mihalcea. Word sense and subjectivity. In Proceedings of Intl. Conf. on Computational Linguistics and 44th Annual Meeting of the ACL (COLING/ACL-2006), 2006.
Wiebe, J. and E. Riloff. Creating subjective and objective sentence classifiers from unannotated texts. Computational Linguistics and Intelligent Text Processing, 2005: p. 486–497.
Wiebe, J., T. Wilson, R. Bruce, M. Bell, and M. Martin. Learning subjective language. Computational Linguistics, 2004, 30(3): p. 277–308.
Wiebe, J., T. Wilson, and C. Cardie. Annotating expressions of opinions and emotions in language. Language Resources and Evaluation, 2005, 39(2): p. 165–210.
Wilson, T., J. Wiebe, and P. Hoffmann. Recognizing contextual polarity in phrase-level sentiment analysis. In Proceedings of the Human Language Technology Conference and the Conference on Empirical Methods in Natural Language Processing (HLT/EMNLP-2005), 2005.
Wilson, T., J. Wiebe, and R. Hwa. Just how mad are you? Finding strong and weak opinion clauses. In Proceedings of National Conference on Artificial Intelligence (AAAI-2004), 2004.
Wilson, T., J. Wiebe, and R. Hwa. Recognizing strong and weak opinion clauses. Computational Intelligence, 2006, 22(2): p. 73–99.
Wu, Y., Q. Zhang, X. Huang, and L. Wu. Phrase dependency parsing for opinion mining. In Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP-2009), 2009.
Yang, H., L. Si, and J. Callan. Knowledge transfer and opinion detection in the TREC2006 blog track. In Proceedings of TREC, 2006.
Yessenalina, A., Y. Yue, and C. Cardie. Multi-level Structured Models for Document-level Sentiment Classification. In Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP-2010), 2010.
Yi, J., T. Nasukawa, R. Bunescu, and W. Niblack. Sentiment analyzer: Extracting sentiments about a given topic using natural language processing techniques. In Proceedings of IEEE International Conference on Data Mining (ICDM-2003), 2003.
Yu, H. and V. Hatzivassiloglou. Towards answering opinion questions: Separating facts from opinions and identifying the polarity of opinion sentences. In Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP-2003), 2003.
Zhai, Z., B. Liu, H. Xu, and P. Jia. Clustering Product Features for Opinion Mining. In Proceedings of ACM International Conference on Web Search and Data Mining (WSDM-2011), 2011.
Zhai, Z., B. Liu, H. Xu, and P. Jia. Grouping Product Features Using Semi-Supervised Learning with Soft-Constraints. In Proceedings of International Conference on Computational Linguistics (COLING-2010), 2010.
Zhai, Z., B. Liu, L. Zhang, H. Xu, and P. Jia. Identifying evaluative opinions in online discussions. In Proceedings of AAAI. 2011.
Zhang, L. and B. Liu. Identifying noun product features that imply opinions. In Proceedings of ACL (short paper),. 2011.
Zhang, L., B. Liu, S. Lim, and E. O’Brien-Strain. Extracting and Ranking Product Features in Opinion Documents. In Proceedings of International Conference on Computational Linguistics (COLING-2010), 2010.
Zhang, W., L. Jia, C. Yu, and W. Meng. Improve the effectiveness of the opinion retrieval and opinion polarity classification. In Proceedings of ACM International Conference on Information and Knowledge Management (CIKM-2008), 2008.
Zhang, W. and C. Yu. UIC at TREC 2007 Blog Report. 2007.
Zhang, Z. and B. Varadarajan. Utility scoring of product reviews. In Proceedings of ACM International Conference on Information and Knowledge Management (CIKM-2006), 2006.
Zhao, W., J. Jiang, H. Yan, and X. Li. Jointly modeling aspects and opinions with a MaxEnt-LDA hybrid. In Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP-2010), 2010.
Zhuang, L., F. Jing, and X. Zhu. Movie review mining and summarization. In Proceedings of ACM International Conference on Information and Knowledge Management (CIKM-2006), 2006.
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Liu, B. (2011). Opinion Mining and Sentiment Analysis. In: Web Data Mining. Data-Centric Systems and Applications. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19460-3_11
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