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Analysing Domain Suitability of a Sentiment Lexicon by Identifying Distributionally Bipolar Words

Flekova, Lucie and Ruppert, Eugen and Preoţiuc-Pietro, Daniel (2015):
Analysing Domain Suitability of a Sentiment Lexicon by Identifying Distributionally Bipolar Words.
In: Proceedings of the 6th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, Association for Computational Linguistics, Lisboa, Portugal, [Online-Edition: http://aclweb.org/anthology/W15-2911],
[Conference or Workshop Item]

Item Type: Conference or Workshop Item
Erschienen: 2015
Creators: Flekova, Lucie and Ruppert, Eugen and Preoţiuc-Pietro, Daniel
Title: Analysing Domain Suitability of a Sentiment Lexicon by Identifying Distributionally Bipolar Words
Language: English
Title of Book: Proceedings of the 6th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis
Publisher: Association for Computational Linguistics
Uncontrolled Keywords: UKP_p_VisADoc;sentiment polarity
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Ubiquitous Knowledge Processing
Event Location: Lisboa, Portugal
Date Deposited: 31 Dec 2016 14:29
Official URL: http://aclweb.org/anthology/W15-2911
Identification Number: TUD-CS-2015-1200
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