@CONFERENCE\{IMM2011-06006,
    author       = "F. {\AA}. Nielsen",
    title        = "A new {ANEW}: Evaluation of a word list for sentiment analysis in microblogs",
    year         = "2011",
    month        = "mar",
    keywords     = "sentiment analysis, Twitter, {ANEW}",
    booktitle    = "Making Sense of Microposts Workshop ({MSM} 2011)",
    volume       = "",
    series       = "",
    editor       = "",
    publisher    = "Informatics and Mathematical Modelling, Technical University of Denmark",
    organization = "",
    address      = "Richard Petersens Plads, Building 321, {DK-}2800 Kgs. Lyngby",
    url          = "http://www2.compute.dtu.dk/pubdb/pubs/6006-full.html",
    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."
}