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

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedings – Annual report year: 2011Researchpeer-review

View graph of relations

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.
Original languageEnglish
Title of host publicationProceedings of the ESWC2011 Workshop on 'Making Sense of Microposts': Big things come in small packages
Publication date2011
Publication statusPublished - 2011
EventWorkshop on 'Making Sense of Microposts : Big things come in small packages - Heraklion, Crete
Duration: 1 Jan 2011 → …


ConferenceWorkshop on 'Making Sense of Microposts : Big things come in small packages
CityHeraklion, Crete
Period01/01/2011 → …
SeriesCEUR Workshop Proceedings
Download as:
Download as PDF
Select render style:
Download as HTML
Select render style:
Download as Word
Select render style:

Download statistics

No data available

ID: 6247125