Publication: Research - peer-review › Article in proceedings – Annual report year: 2011
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.
|Title of host publication||Proceedings of the ESWC2011 Workshop on 'Making Sense of Microposts': Big things come in small packages|
|Conference||Workshop on 'Making Sense of Microposts : Big things come in small packages|
|Period||01/01/11 → …|
|Name||CEUR Workshop Proceedings|
Loading map data...
No data available