Chapter4 Sentiment Subjectivity and Sentiment Classification

4.1 Subjectivity Classification P45 (Lin, 1998) Automatic Retrieval and Clustering of Similar Words.pdf P46 (Riloff and Wiebe, 2003) Learning Extraction Patterns for Subjective Expressions.pdf P47 (Wiebe and Riloff, 2005) Annotating Expressions of Opinions and Emotions in Language.pdf P47 (Pang and Lee, 2004) Sentiment Analysis Using Subjectivity Summarization Based on Minimum Cuts.pdf P48 (Benamara et al., 2011) Towards Context-Based Subjectivity Analysis.pdf

4.2 Sentence Seniment Classification P49 (Yu and Hatzivassiloglou, 2003) Separating facts from opinions and identifying the polarity of opinion sentences.pdf P50 (Hassan, Qazvinian and Radev, 2010) Identifying Sentences with Attitude in Online Discussions.pdf

4.5 Cross-language Subjectivity and Sentiment Classification P54 (Banea, Mihalcea and Wiebe, 2010) Are More Languages Better.pdf P55 (Lu et al., 2011) Joint Bilingual Sentiment Classification with Unlabeled Parallel Corpora.pdf

4.6 Using Discourse Information for Sentiment Classification P55 (Asher, Benamara and Mathieu, 2008) Distilling opinion in discourse.pdf P55 (Somasundaran, Rupenhofer and Wiebe, 2008) Discourse Level Opinion Interpretation.pdf P55 (Somasundaran et al., 2009) Opinion graphs for polarity and discourse classification.pdf P56 (Zhou et al., 2011) Unsupervised discovery of discourse relations for eliminating intrasentence.pdf P56 (Zirn et al., 2011) Fine-Grained Sentiment Analysis with Structural Features.pdf

Chapter5 Aspect-based Sentiment Analysis

5.1 Aspect Sentiment Classification P59 (Wie and Gulla, 2010) Sentiment Learning on Product Reviews via Sentiment Ontology Tree.pdf P59 (Jiang et al., 2011) Target-dependent Twitter Sentiment Classification.pdf P59 (Ding, Liu and Zhang, 2009) Entity discovery and assignment for opinion mining applications.pdf P59 (Ganapathibhotla and Liu, 2008) Mining Opinions in Comparative Sentences.pdf P60 (Ding, Liu and Yu, 2008) A holistic lexicon-based approach to opinion mining.pdf P60 (Hu and Liu, 2004) Mining and Summarizing Customer Reviews.pdf P62 (Blair-Goldensohn et al., 2008) Building a sentiment summarizer for local service reviews.pdf P62 (Kessler and Nicolov, 2009) Targeting sentiment expressions through supervised ranking of linguistic configurations.pdf

5.2 Basic Rules of Opinions and Compositional Semantics P63 (Ikeda et al., 2008) Learning to shift the polarity of words for sentiment classification.pdf P63 (Jia, Yu and Meng, 2009) The effect of negation on sentiment analysis and retrieval effectiveness.pdf P63 (Li et al., 2010) Sentiment classification and polarity shifting P63 (Morante, Schrauwen and Daelemans, 2011) Corpus-based approaches to processing the scope of negation cues.pdf

5.3 Aspect Extraction 5.3.1 Finding Frequent Nouns and Noun Phrases P70 (Blair-Goldensohn et al., 2008) Building a sentiment summarizer for local service reviews.pdf P70 (Moghaddam and Ester, 2010) None P70 (Zhu et al., 2009) None P70 (Long, Zhang and Zhu, 2010) A review selection approach for accurate feature rating estimation.pdf 5.3.2 Using Opinion and Target Relations P71 (Qiu et al., 2011) Opinion Word Expansion and Target Extraction through Double Propagation.pdf P71 (Wu et al., 2009) Phrase dependency parsing for opinion mining.pdf P71 (Kessler and Nicolov, 2009) Targeting sentiment expressions through supervised ranking of linguistic configurations.pdf P72 (Jin and Ho, 2009) OpinionMiner.pdf P72 (Jakob and Gurevych, 2010) Extracting Opinion Targets in a Singleand Cross-Domain Setting with Conditional Random Fields.pdf P72 (Li et al., 2010) None P72 (Kobayashi, Inui and Matsumoto, 2007) Extracting Aspect-Evaluation and Aspect-of Relations in Opinion Mining.pdf P72 (Yu et al., 2011) Aspect ranking.pdf ? 5.3.4 Using Topic Models P73 (Mei et al., 2007) Topic sentiment mixture.pdf 5.3.5 Mapping Implicit Aspects P77 (Su et al., 2008) Hidden sentiment association in chinese web opinion mining.pdf P78 (Hai, Chang and Kim, 2011) None

5.4 Identifying Resource Usage Aspect P78 (Zhang and Liu, 2011a) Resource Terms for Sentiment Analysis.pdf

5.5 Simutanneous Opinion Lexicon Expansion and Aspect Extraction P81 (Zhai et al., 2011) Clustering Product Features for Opinion Mining

5.6 Grouping Aspects into Categories P82 (Yu et al., 2011) Domain-Assisted Product Aspect Hierarchy Generation P82 (Zhai et al., 2010) Grouping Product Features Using Semi-Supervised Learning with Soft-Constraints P83 (Zhai et al., 2011) Constrained LDA for Grouping Product Features in Opinion Mining P84 (Mukherjee and Liu, 2012) Modeling Review Comments

Chapter6 Sentiment Lexicon Generation

6.1 Dictionary-based Approach P91 (Hu and Liu, 2004) Mining and summarizing customer reviews None P91 (Kim and Hovy, 2004) Determining the sentiment of opinions None P91 (Kamps et al., 2004) Using WordNet to measure semantic orientation of adjectives P91 (Williams and Anand, 2009) Predicting the Polarity Strength of Adjectives Using WordNet P91 (Blair-Goldensohn et al., 2008) Building a sentiment summarizer for Local Service Reviews P92 (Rao and Ravichandran, 2009) Semi-supervised polarity lexicon induction P92 (Hassan and Radev, 2010) Identifying text polarity using random walks P92 (Hassan et al., 2011) Identifying the semantic orientation of foreign words P93 (Andreevskaia and Bergler, 2006) Mining WordNet for fuzzy sentiment P94 (Dragut et al., 2010) Construction of a sentimental word dictionary P94 (Peng and Park, 2011) Generate Adjective Sentiment Dictionary for Social Media Sentiment Analysis Using Constrained Nonnegative Matrix Factorization p94 (Xu, Meng and Wang, 2010) Build Chinese emotion lexicons using a graph-based algorithm and multiple resources

6.2 Corpus-based Approach P96 (Kaji and Kitsuregawa, 2006) Automatic construction of polarity-tagged corpus from HTML documents P96 (Kaji and Kitsuregawa, 2007) Building lexicon for sentiment analysis from massive collection of HTML documents P96 (Ganapathibhotla and Liu, 2008) Mining opinions in comparative sentences P96 (Wu and Wen, 2010) Disambiguating dynamic sentiment ambiguous adjectives P96 (Lu et al., 2011) Automatic construction of a context-aware sentiment lexicon: an optimization approach P97 (Wilson, Wiebe and Hoffmann, 2005) Recognizing contextual polarity in phrase-level sentiment analysis P97 (Breck, Choi and Cardie, 2007) Identifying expressions of opinion in context P98 (L.Jijkoun, Rijke and Weerkamp, 2010) Generating Focused Topic-specific Sentiment Lexicons P99 (Feng, Bose and Choi, 2011) Learning general connotation of words using graph-based algorithms

6.3 Desirable and Undesirable Facts P99 (Zhang and Liu, 2011b) Identifying noun product features that imply opinions

6.4 Summary P101 (Maas et al., 2011) Learning word vectors for sentiment analysis P101 (Yessenalina and Cardie, 2011) Compositional Matrix-Space Models for Sentiment Analysis

Chapter8 Analysis of Comparative Opinions

8.2 Identify Comparative Sentences P114 (Jindal and Liu, 2006b) Mining Comparative Sentences and Relations P114 (Li et al., 2010) Comparable entity mining from comparative questions

8.3 Identifying Preferred Entities P115 (Ding, Liu and Zhang, 2009) Entity discovery and assignment for opinion mining applications

8.4 Summary P117 (Yang and Ko, 2011) Extracting comparative entities and predicates from texts using comparative type classification

Chapter11 Quality of Reviews

11.1 Quality as Regression Problem P137 (Kim et al., 2006) Automatic identification of pro and con reasons in online reviews. P137 (Zhang and Varadarajan, 2006) None P137 (Liu et al., 2008) None P137 (Ghose and Ipeirotis, 2007) Designing novel review ranking systems: predicting the usefulness and impact of reviews P137 (Ghose and Ipeirotis, 2010) Estimating the helpfulness and economic impact of product reviews

11.2 Other Methods P138 (O'Mahony and Smyth, 2009) Learning to recommend helpful hotel reviews P139 (Tsur and Rappoport, 2009) Semi-Supervised Recognition of Sarcastic Sentences in Online Product Reviews P139 (Moghaddam, Jamali and Ester, 2012) None