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Tesi etd-06112013-000345


Thesis type
Tesi di laurea magistrale
Author
CHERSONI, EMMANUELE
URN
etd-06112013-000345
Title
Distributional methods for Sentiment Analysis
Struttura
FILOLOGIA, LETTERATURA E LINGUISTICA
Corso di studi
INFORMATICA UMANISTICA
Commissione
relatore Lenci, Alessandro
correlatore Pedreschi, Dino
correlatore Tavoni, Mirko
Parole chiave
  • semantic vector space models
  • sentiment analysis
  • Distributional semantics
Data inizio appello
01/07/2013;
Consultabilità
parziale
Data di rilascio
01/07/2053
Riassunto analitico
The aim of the thesis is to propose and discuss some distributional approaches, i.e. approaches based on the assumption that linguistic expressions with similar distributions have similar meanings, to deal with problems related to the computational treatment of sentiment and subjectivity.<br>In particular, we focus on two tasks: the polarity classification(positive or negative) of words taken in isolation; the polarity classification of more complex linguistic expressions, with a special attention to modifications due to the context.
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