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Language Modeling for Information Retrieval
Language Modeling for Information Retrieval
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ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
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Opinion Mining and Sentiment Analysis
Foundations and Trends in Information Retrieval
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Foundations and Trends in Information Retrieval
Who said what to whom?: capturing the structure of debates
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Language-model-based pro/con classification of political text
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Summarizing contrastive viewpoints in opinionated text
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
Detecting controversial events from twitter
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Exploiting structured ontology to organize scattered online opinions
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Contrasting opposing views of news articles on contentious issues
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
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Mining contrastive opinions on political texts using cross-perspective topic model
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Harmony and dissonance: organizing the people's voices on political controversies
Proceedings of the fifth ACM international conference on Web search and data mining
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SIGMOD '12 Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data
Mining web query logs to analyze political issues
Proceedings of the 3rd Annual ACM Web Science Conference
PolariCQ: polarity classification of political quotations
Proceedings of the 21st ACM international conference on Information and knowledge management
PLEAD 2012: politics, elections and data
Proceedings of the 21st ACM international conference on Information and knowledge management
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This paper describes OpinioNetIt, a structured, faceted, knowledge-base of opinions, and its use in political opinions analysis. OpinioNetIt consists of information about people, topics and opinions in the form of person, opinion, topic triples, indicating the opinion of a person on a topic. Our specific focus has been on acquiring opinions held by various stakeholders on politically controversial topics. Our system can be used for various kinds of analysis, including, heat maps showing political bias, flip-flopping politicians, dissenters, etc. In this paper, we describe the architecture of our system, and how it can be used to address these various use-cases.