ABSTRACT
We consider the problem of automatically classifying quotations about political debates into both topic and polarity. These quotations typically appear in news media and online forums. Our approach maps quotations onto one or more topics in a category system of political debates, containing more than a thousand fine-grained topics. To overcome the difficulty that pro/con classification faces due to the brevity of quotations and sparseness of features, we have devised a model of quotation expansion that harnesses antonyms from thesauri like WordNet. We developed a suite of statistical language models, judiciously customized to our settings, and use these to define similarity measures for unsupervised or supervised classifications. Experiments show the effectiveness of our method.
- L. Adamic and N. Glance. The political blogosphere and the 2004 us election: divided they blog. Workshop on Link Discovery, 2005. Google ScholarDigital Library
- R. Awadallah, M. Ramanath, and G. Weikum. Harmony and dissonance: organizing the people's voices on political controversies. In WSDM, 2012. Google ScholarDigital Library
- R. Balasubramanyan, W. Cohen, D. Pierce, and D. Redlawsk. Modeling polarizing topics: When do different political communities respond differently to the same news? In ICWSM, 2012.Google Scholar
- C. Burfoot, S. Bird, and T. Baldwin. Collective classification of congressional floor-debate transcripts. In ACL, 2011. Google ScholarDigital Library
- Y. Fang, L. Si, N. Somasundaram, and Z. Yu. Mining contrastive opinions on political texts using cross-perspective topic model. In WSDM, 2012. Google ScholarDigital Library
- R. Kaptein, M. Marx, and J. Kamps. Who said what to whom?: capturing the structure of debates. In SIGIR, 2009. Google ScholarDigital Library
- B. Liu. Sentiment analysis and subjectivity. In Handbook of Natural Language Processing, Second Edition. 2010.Google Scholar
- Y. Lu, H. Duan, H. Wang, and C. Zhai. Exploiting structured ontology to organize scattered online opinions. In COLING, 2010. Google ScholarDigital Library
- D. Nguyen, E. Mayfield, and C. Rosé. An analysis of perspectives in interactive settings. In SOMA, 2010. Google ScholarDigital Library
- B. Pang and L. Lee. Opinion mining and sentiment analysis. FnT in IR, 2(1--2), 2008. Google ScholarDigital Library
- S. Ponzetto and R. Navigli. Knowledge-rich word sense disambiguation rivaling supervised systems. In ACL, 2010. Google ScholarDigital Library
- X. Zhou, P. Resnick, and Q. Mei. Classifying the political leaning of news articles and users from user votes. In ICWSM, 2011.Google Scholar
Index Terms
- PolariCQ: polarity classification of political quotations
Recommendations
Opinions network for politically controversial topics
PLEAD '12: Proceedings of the first edition workshop on Politics, elections and dataThis 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, ...
Harmony and dissonance: organizing the people's voices on political controversies
WSDM '12: Proceedings of the fifth ACM international conference on Web search and data miningThe wikileaks documents about the death of Osama Bin Laden and the debates about the economic crisis in Greece and other European countries are some of the controversial topics being played on the news everyday. Each of these topics has many different ...
OpinioNetIt: A Structured and Faceted Knowledge-base of Opinions
ICDMW '12: Proceedings of the 2012 IEEE 12th International Conference on Data Mining WorkshopsWe propose a demonstration of our system, OpinioNetIt, a structured, faceted, knowledge-base of opinions, and its use in political analysis. OpinioNetIt consists of information about people, topics and opinions in the form of triples, indicating the ...
Comments