DocumentCode :
1994716
Title :
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
Link To Document :
بازگشت