Searching for sentences expressing opinions by using declaratively subjective clues

Authors:
Nobuaki Hiroshima;Setsuo Yamada;Osamu Furuse;Ryoji Kataoka
Affiliations:
NTT Corporation, Kanagawa, Japan;NTT Corporation, Kanagawa, Japan;NTT Corporation, Kanagawa, Japan;NTT Corporation, Kanagawa, Japan
Venue:
SST '06 Proceedings of the Workshop on Sentiment and Subjectivity in Text
Year:
2006

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Abstract

This paper presents a method for searching the web for sentences expressing opinions. To retrieve an appropriate number of opinions that users may want to read, declaratively subjective clues are used to judge whether a sentence expresses an opinion. We collected declaratively subjective clues in opinion-expressing sentences from Japanese web pages retrieved with opinion search queries. These clues were expanded with the semantic categories of the words in the sentences and were used as feature parameters in a Support Vector Machine to classify the sentences. Our experimental results using retrieved web pages on various topics showed that the opinion expressing sentences identified by the proposed method are congruent with sentences judged by humans to express opinions.