Enhanced Twitter Sentiment Classification Using Contextual Information
The rise in popularity and ubiquity of Twitter has made sentiment analysis of tweets an important and well-covered area of research. However, the 140 character limit imposed on tweets makes it hard to use standard linguistic methods for sentiment classification. On the other hand, what tweets lack i...
Main Authors: | Vosoughi, Soroush (Contributor), Zhou, Helen L. (Contributor), Roy, Deb K (Author) |
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Other Authors: | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor), Massachusetts Institute of Technology. Media Laboratory (Contributor), Program in Media Arts and Sciences (Massachusetts Institute of Technology) (Contributor), Roy, Deb K. (Contributor) |
Format: | Article |
Language: | English |
Published: |
Association for Computational Linguistics,
2015-09-16T12:13:13Z.
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Subjects: | |
Online Access: | Get fulltext |
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