Linguistically-motivated and Lexicon Features for Sentiment Analysis of Italian Tweets (Contributo in atti di convegno)

Type
Label
  • Linguistically-motivated and Lexicon Features for Sentiment Analysis of Italian Tweets (Contributo in atti di convegno) (literal)
Anno
  • 2014-01-01T00:00:00+01:00 (literal)
Alternative label
  • Andrea Cimino, Stefano Cresci, Felice Dell'Orletta, Maurizio Tesconi (2014)
    Linguistically-motivated and Lexicon Features for Sentiment Analysis of Italian Tweets
    in The 4th Conference for Evaluation of NLP and Speech Tools for Italian (EVALITA), Pisa
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Andrea Cimino, Stefano Cresci, Felice Dell'Orletta, Maurizio Tesconi (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • IIT-CNR, ILC-CNR (literal)
Titolo
  • Linguistically-motivated and Lexicon Features for Sentiment Analysis of Italian Tweets (literal)
Abstract
  • In this paper we describe our approach to EVALITA 2014 SENTIment POLarity Classification (SENTIPOLC) task. We participated only in the Polarity Classification sub-task. By resorting to a wide set of general-purpose features qualifying the lexical and grammatical structure of a text, automatically created ad-hoc lexicons and existing free available resources, we achieved the second best accuracy. (literal)
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