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LREC
2010

Interpreting SentiWordNet for Opinion Classification

14 years 28 days ago
Interpreting SentiWordNet for Opinion Classification
We describe a set of tools, resources, and experiments for opinion classification in business-related datasources in two languages. In particular we concentrate on SentiWordNet text interpretation to produce word, sentence, and text-based sentiment features for opinion classification. We achieve good results in experiments using supervised learning machine over syntactic and sentiment-based features. We also show preliminary experiments where the use of summaries before opinion classification provides competitive advantage over the use of full documents.
Horacio Saggion, Adam Funk
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2010
Where LREC
Authors Horacio Saggion, Adam Funk
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