Extracting Subjective and Objective Evaluative Expressions from the Web

Author

Nakagawa, Tetsuji ; Kawada, Takuya ; Inui, Kentaro ; Kurohashi, Sadao

Author_Institution

Nat. Inst. of Inf. & Commun. Technol., Japan

fYear

2008

fDate

15-16 Dec. 2008

Firstpage

251

Lastpage

258

Abstract

There are various opinions on the Web, and analyzing them is an important task. Although many previous studies focused on analyzing subjective evaluative expressions, objective evaluative expressions which describe positive or negative facts are also informative information. In this paper, we study extraction and classification of subjective and objective evaluative expressions on Japanese Web documents using machine learning and evaluative word dictionaries.

Keywords

Internet; classification; information retrieval; learning (artificial intelligence); natural language processing; text analysis; Japanese Web document; evaluative word dictionary; machine learning; objective evaluative expression classification; objective evaluative expression extraction; subjective evaluative expression classification; subjective evaluative expression extraction; text analysis; Communications technology; Data mining; Dictionaries; Digital cameras; Error analysis; Explosives; Information analysis; Law; Machine learning; Motion pictures; natural language processing; sentiment analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Universal Communication, 2008. ISUC '08. Second International Symposium on

Conference_Location

Osaka

Print_ISBN

978-0-7695-3433-6

Type

conf

DOI

10.1109/ISUC.2008.17

Filename

4724470