articlearXiv (Cornell University)Mar 15, 2011GREEN OA

A new ANEW: Evaluation of a word list for sentiment analysis in microblogs

Indexed inarxivdatacite

Abstract

Sentiment analysis of microblogs such as Twitter has recently gained a fair amount of attention. One of the simplest sentiment analysis approaches compares the words of a posting against a labeled word list, where each word has been scored for valence, -- a 'sentiment lexicon' or 'affective word lists'. There exist several affective word lists, e.g., ANEW (Affective Norms for English Words) developed before the advent of microblogging and sentiment analysis. I wanted to examine how well ANEW and other word lists performs for the detection of sentiment strength in microblog posts in comparison with a new word list specifically constructed for microblogs. I used manually labeled postings from Twitter scored for…

Citation impact

740
total citations
FWCI
Percentile
References
10
Citations per year

Authors

1

Topics & keywords

Keywords
  • Microblogging
  • Word (group theory)
  • Social media
  • Sentiment analysis
  • Natural language processing
  • Computer science
  • Information retrieval
  • World Wide Web
No related works found for this paper.