articleJun 23, 2011ESClosed access

Sentiment Analysis of Twitter Data

Columbia University

Abstract

We examine sentiment analysis on Twitter data. The contributions of this paper are: (1) We introduce POS-specific prior polarity fea-tures. (2) We explore the use of a tree kernel to obviate the need for tedious feature engineer-ing. The new features (in conjunction with previously proposed features) and the tree ker-nel perform approximately at the same level, both outperforming the state-of-the-art base-line. 1

Citation impact

1,362
total citations
FWCI
102.44
Percentile
100%
References
16
Citations per year

Authors

5

Topics & keywords

Keywords
  • Computer science
  • Feature engineering
  • Sentiment analysis
  • Artificial intelligence
  • Feature (linguistics)
  • Tree (set theory)
  • Baseline (sea)
  • Conjunction (astronomy)
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