http://www.cnr.it/ontology/cnr/individuo/prodotto/ID294105
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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