Extracting opinion topics for Chinese opinions using dependence grammar

Previous work on opinion/sentiment mining focuses only on sentiment classification with the postulation that topics are identified a prior. However, this assumption often fails in reality. In advertising, topics on which users are commenting are crucial as corresponding advertisements can only be promoted when advertisers have the idea of what users are referring to. In this paper, we propose a rule-based approach to extracting topics from opinion sentences given these sentences identified from texts in advance. We build up a sentiment dictionary and define several rules based on the syntactic roles of words using the Dependence Grammar which is considered to be more suitable for Chinese natural language parsing. The experiments show encouraging results.

[1]  Hong Yu,et al.  Towards Answering Opinion Questions: Separating Facts from Opinions and Identifying the Polarity of Opinion Sentences , 2003, EMNLP.

[2]  Lucien Tesnière.  Éléments de syntaxe structurale , 1959 .

[3]  Andrea Esuli,et al.  Determining the semantic orientation of terms through gloss classification , 2005, CIKM '05.

[4]  Kathleen R. McKeown,et al.  Predicting the semantic orientation of adjectives , 1997 .

[5]  Bo Pang,et al.  A Sentimental Education: Sentiment Analysis Using Subjectivity Summarization Based on Minimum Cuts , 2004, ACL.

[6]  Janyce Wiebe,et al.  Learning Subjective Adjectives from Corpora , 2000, AAAI/IAAI.

[7]  Janyce Wiebe,et al.  Recognizing subjectivity: a case study in manual tagging , 1999, Natural Language Engineering.

[8]  Alaa A. Kharbouch,et al.  Three models for the description of language , 1956, IRE Trans. Inf. Theory.

[9]  Changning Huang,et al.  An Efficient Syntactic Tagging Tool For Corpora , 1994, COLING.

[10]  Michael L. Littman,et al.  Measuring praise and criticism: Inference of semantic orientation from association , 2003, TOIS.

[11]  Janyce Wiebe,et al.  Recognizing Contextual Polarity in Phrase-Level Sentiment Analysis , 2005, HLT.

[12]  Hsin-Hsi Chen,et al.  Opinion Extraction, Summarization and Tracking in News and Blog Corpora , 2006, AAAI Spring Symposium: Computational Approaches to Analyzing Weblogs.

[13]  Daniel Dominic Sleator,et al.  Parsing English with a Link Grammar , 1995, IWPT.

[14]  Peter D. Turney.  Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews , 2002, ACL.

[15]  Soo-Min Kim,et al.  Determining the Sentiment of Opinions , 2004, COLING.

[16]  Kamal Nigam,et al.  Towards a Robust Metric of Opinion , 2004 .

[17]  Dekang Lin,et al.  Automatic Retrieval and Clustering of Similar Words , 1998, ACL.

[18]  Bo Pang,et al.  Thumbs up? Sentiment Classification using Machine Learning Techniques , 2002, EMNLP.