论文信息 - TesTing rules for a senTimenT analysis sysTem

TesTing rules for a senTimenT analysis sysTem

The paper is devoted to testing rules useful for sentiment analysis of Russian. First, we describe the working principles of the POLYARNIK sentiment analysis system, which has an extensive sentiment dictionary but a minimal set of rules to combine sentiment scores of opinion words and expressions. Then we present the results achieved by this system in ROMIP-2012 evaluation where it was applied in the sentiment analysis task of news quotes. The analysis of detected problems became a basis for implementation of several new rules, which were then tested on the ROMIP-2012 data.

[1] Natalia V. Loukachevitch,et al. Sentiment Analysis Track at ROMIP-2012 , 2013 .

[2] Н.В. Лукашевич,et al. Sentiment analysis track at ROMIP 2011 , 2012 .

[3] Lee Gillam,et al. University of Surrey Participation in TREC8: Weirdness Indexing for Logical Document Extrapolation and Retrieval (WILDER) , 1999, TREC.

[4] Bo Pang,et al. Thumbs up? Sentiment Classification using Machine Learning Techniques , 2002, EMNLP.

[5] Lillian Lee,et al. Opinion Mining and Sentiment Analysis , 2008, Found. Trends Inf. Retr..

[6] Bing Liu,et al. Sentiment Analysis and Subjectivity , 2010, Handbook of Natural Language Processing.

[7] Maite Taboada,et al. Lexicon-Based Methods for Sentiment Analysis , 2011, CL.