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

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    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.
    Original languageEnglish
    Title of host publicationProceedings of the ESWC2011 Workshop on 'Making Sense of Microposts': Big things come in small packages
    Publication date2011
    Pages93-98
    Publication statusPublished - 2011
    Event1st Workshop on Making Sense of Microposts : Big things come in small packages - Heraklion, Crete, Greece
    Duration: 30 May 201130 May 2011
    Conference number: 1

    Workshop

    Workshop1st Workshop on Making Sense of Microposts
    Number1
    CountryGreece
    CityHeraklion, Crete
    Period30/05/201130/05/2011
    SeriesCEUR Workshop Proceedings
    Number718

    Cite this

    Nielsen, F. Å. (2011). A new ANEW: Evaluation of a word list for sentiment analysis in microblogs. In Proceedings of the ESWC2011 Workshop on 'Making Sense of Microposts': Big things come in small packages (pp. 93-98). CEUR Workshop Proceedings, No. 718 http://research.hypios.com/msm2011/