TY - GEN
T1 - Opinion mining on the web by extracting subject-aspect-evaluation relations
AU - Kobayashi, Nozomi
AU - Iida, Ryu
AU - Inui, Kentaro
AU - Matsumoto, Yuji
PY - 2006
Y1 - 2006
N2 - This paper addresses the task of extracting opinions from a given document collection. Assuming that an opinion can be represented as a tuple (Subject, Aspect, Evaluation), we propose a computational method to extract such tuples from texts. In this method, the main task is decomposed into (a) the process of extracting Aspect-Evaluation pairs from a given text and (b) the process of judging whether an extracted pair expresses an opinion of the author. We apply machine-learning techniques to both subtasks. We also report on the results of our experiments and discuss future directions.
AB - This paper addresses the task of extracting opinions from a given document collection. Assuming that an opinion can be represented as a tuple (Subject, Aspect, Evaluation), we propose a computational method to extract such tuples from texts. In this method, the main task is decomposed into (a) the process of extracting Aspect-Evaluation pairs from a given text and (b) the process of judging whether an extracted pair expresses an opinion of the author. We apply machine-learning techniques to both subtasks. We also report on the results of our experiments and discuss future directions.
UR - http://www.scopus.com/inward/record.url?scp=33747165277&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33747165277&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:33747165277
SN - 1577352645
SN - 9781577352648
T3 - AAAI Spring Symposium - Technical Report
SP - 86
EP - 91
BT - Computational Approaches to Analyzing Weblogs - Papers from the AAAI Spring Symposium, Technical Report
T2 - 2006 AAAI Spring Symposium
Y2 - 27 March 2006 through 29 March 2006
ER -