TY - GEN
T1 - What Is an Opinion About? Exploring Political Standpoints Using Opinion Scoring Model
AU - Chen, Bi
AU - Zhu, Leilei
AU - Kifer, Daniel
AU - Lee, Dongwon
N1 - Publisher Copyright:
Copyright © 2010, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.
PY - 2010/7/15
Y1 - 2010/7/15
N2 - In this paper, we propose a generative model to automatically discover the hidden associations between topics words and opinion words. By applying those discovered hidden associations, we construct the opinion scoring models to extract statements which best express opinionists' standpoints on certain topics. For experiments, we apply our model to the political area. First, we visualize the similarities and dissimilarities between Republican and Democratic senators with respect to various topics. Second, we compare the performance of the opinion scoring models with 14 kinds of methods to find the best ones. We find that sentences extracted by our opinion scoring models can effectively express opinionists' standpoints.
AB - In this paper, we propose a generative model to automatically discover the hidden associations between topics words and opinion words. By applying those discovered hidden associations, we construct the opinion scoring models to extract statements which best express opinionists' standpoints on certain topics. For experiments, we apply our model to the political area. First, we visualize the similarities and dissimilarities between Republican and Democratic senators with respect to various topics. Second, we compare the performance of the opinion scoring models with 14 kinds of methods to find the best ones. We find that sentences extracted by our opinion scoring models can effectively express opinionists' standpoints.
UR - http://www.scopus.com/inward/record.url?scp=85167453443&partnerID=8YFLogxK
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M3 - Conference contribution
AN - SCOPUS:85167453443
T3 - Proceedings of the 24th AAAI Conference on Artificial Intelligence, AAAI 2010
SP - 1007
EP - 1012
BT - Proceedings of the 24th AAAI Conference on Artificial Intelligence, AAAI 2010
PB - AAAI press
T2 - 24th AAAI Conference on Artificial Intelligence, AAAI 2010
Y2 - 11 July 2010 through 15 July 2010
ER -