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

Making Sense of Microposts 2011.

计算机科学;

Finn A˚rup Nielsen

Others  :  http://ceur-ws.org/Vol-718/paper_16.pdf
PID  :  42778

学科分类：计算机科学（综合）

来源: CEUR

【 摘 要 】

Sentiment analysis of microblogs such as Twitter has re-cently 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 sen- timent 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