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

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

2011-03-15

arxiv.org/abs/1103.2903v1

Computer Science

Information Retrieval

6 pages, 4 figures, 1 table, Submitted to "Making Sense of Microposts (#MSM2011)"

Scientific paper

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.

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