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A generation model to unify topic relevance and lexicon-based sentiment for opinion retrieval
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Authors:
Min Zhang
Tsinghua University, Beijing, China
Xingyao Ye
Tsinghua University, Beijing, China
Published in:
· Proceeding
SIGIR '08
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
ACM
New York, NY
, USA
©2008
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ISBN: 978-1-60558-164-4
doi>
10.1145/1390334.1390405
2008 Article
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· Downloads (6 Weeks): 39
· Downloads (12 Months): 147
· Citation Count: 14
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Tags:
algorithms
experimentation
generation model
opinion generation model
opinion retrieval
retrieval models
sentiment analysis
theory
topic relevance
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