BOUNCE: sentiment classification in Twitter using rich feature sets
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Conference paper (help) | |
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BOUNCE: sentiment classification in Twitter using rich feature sets | |
Authors: | Nadin Kökciyan, Arda Celebi†, Arzucan Özgur, Suzan Üskudarlı |
Citation: | missing booktitle : 2013 |
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Publisher: | Define publisher |
Meeting: | Define meeting |
Database(s): | Google Scholar cites |
DOI: | Define doi. |
Link(s): | http://www.cmpe.boun.edu.tr/~ozgur/papers/bounce.pdf |
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Article: | Google Scholar PubMed |
Restricted: | DTU Digital Library |
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Format: | BibTeX |
BOUNCE: sentiment classification in Twitter using rich feature sets reports on a system for sentiment analysis of posts from Twitter for the SemEval competition.
[edit] Method
Features included (see Table 1):
- Single-word features.
- Match to slang dictionary
- Emoticons
- Sentiment analysis using AFINN and SentiWordNet word lists.
- ...