Sciweavers

Share
CORR
2011
Springer

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

8 years 8 months ago
A new ANEW: Evaluation of a word list for sentiment analysis in microblogs
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 sentiment. Using a simple word matching I show that the new word list may perform better than ANEW, though not as good as the more elaborate approach found in SentiStrength.
Finn Årup Nielsen
Added 13 May 2011
Updated 13 May 2011
Type Journal
Year 2011
Where CORR
Authors Finn Årup Nielsen
Comments (0)
books