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id: 37028

Analyzing domain suitability of a sentiment lexicon by identifying distributionally bipolar words Flekova, Lucie; Ruppert, Eugen; Preotiuc-Pietro, Daniel Book Chapter | Aus: Association for Computational Linguistics (Hrsg.): 6th workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis (WASSA 2015): Workshop proceedings, 17 September 2015, Lisboa, Portugal | Red Hook; NY: Association for Computational Linguistics | 2015 37028 Endnote: Author(s): Flekova, Lucie; Ruppert, Eugen; Preotiuc-Pietro, Daniel
Title: Analyzing domain suitability of a sentiment lexicon by identifying distributionally bipolar words
In: Association for Computational Linguistics (Hrsg.): 6th workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis (WASSA 2015): Workshop proceedings, 17 September 2015, Lisboa, Portugal, Red Hook; NY: Association for Computational Linguistics, 2015 , S. 77-84
URL: http://www.emnlp2015.org/proceedings/WASSA/WASSA-2015.pdf#page=89
Publication Type: 4. Beiträge in Sammelwerken; Tagungsband/Konferenzbeitrag/Proceedings
Language: Englisch
Keywords: Automatisierung; Computerlinguistik; Emotion; Kommunikation; Lexikographie; Lexikon; Online; Qualität; Soziale Software; Textanalyse; Thesaurus
Abstract: Contemporary sentiment analysis approaches rely on lexicon based methods. This is mainly due to their simplicity, although the best empirical results can be achieved by more complex techniques. We introduce a method to assess suitability of generic sentiment lexicons for a given domain, namely to identify frequent bigrams where a polar word switches polarity. Our bigrams are scored using Lexicographers Mutual Information and leveraging large automatically obtained corpora. Our score matches human perception of polarity and demonstrates improvements in classification results using our enhanced context-aware method. Our method enhances the assessment of lexicon based sentiment detection and can be further userd to quantify ambiguous words. (DIPF/Orig.)