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Extracting and Grounding Contextualized Sentiment Lexicons
Found in: IEEE Intelligent Systems
By Albert Weichselbraun,Stefan Gindl,Arno Scharl
Issue Date:March 2013
pp. 39-46
A context-aware approach based on machine learning and lexical analysis identifies ambiguous terms and stores them in contextualized sentiment lexicons, which ground the terms to concepts corresponding to their polarity.
Using games with a purpose and bootstrapping to create domain-specific sentiment lexicons
Found in: Proceedings of the 20th ACM international conference on Information and knowledge management (CIKM '11)
By Albert Weichselbraun, Arno Scharl, Stefan Gindl
Issue Date:October 2011
pp. 1053-1060
Sentiment detection analyzes the positive or negative polarity of text. The field has received considerable attention in recent years, since it plays an important role in providing means to assess user opinions regarding an organization's products, service...