论文信息 - Bootstrapping subjectivity detection - 字舞流文

Bootstrapping subjectivity detection

We describe a method for automatically generating subjectivity clues for a specific topic and a set of (relevant) document, evaluating it on the task of classifying sentences w.r.t. subjectivity, with improvements over previous work.

Valentin Jijkoun | Maarten de Rijke

[1] Hsin-Hsi Chen,et al. Overview of Multilingual Opinion Analysis Task at NTCIR-7 , 2008, NTCIR.

[2] Jong-Hyeok Lee,et al. Improving Opinion Retrieval Based on Query-Specific Sentiment Lexicon , 2009, ECIR.

[3] Sung-Hyon Myaeng,et al. Generating Domain-Specific Clues Using News Corpus for Sentiment Classification , 2010, ICWSM.

[4] Claire Cardie,et al. Annotating Expressions of Opinions and Emotions in Language , 2005, Lang. Resour. Evaluation.

[5] Jungi Kim,et al. KLE at TREC 2008 Blog Track: Blog Post and Feed Retrieval , 2008, TREC.

[6] M. de Rijke,et al. Parsimonious relevance models , 2008, SIGIR '08.

[7] Valentin Jijkoun,et al. Generating Focused Topic-Specific Sentiment Lexicons , 2010, ACL.

[8] Hsin-Hsi Chen,et al. Overview of Opinion Analysis Pilot Task at NTCIR-6 , 2007, NTCIR.

[9] Xu Ling,et al. Topic sentiment mixture: modeling facets and opinions in weblogs , 2007, WWW '07.