Entity extraction e text classification come strumenti per la sentiment analysis di testi giornalistici


Autoria(s): Pizzol, Martino
Contribuinte(s)

Vitali, Fabio

Data(s)

18/03/2015

Resumo

In this thesis we are going to talk about technologies which allow us to approach sentiment analysis on newspapers articles. The final goal of this work is to help social scholars to do content analysis on big corpora of texts in a faster way thanks to the support of automatic text classification.

Formato

application/pdf

Identificador

http://amslaurea.unibo.it/8396/1/pizzol_martino_tesi.pdf

Pizzol, Martino (2015) Entity extraction e text classification come strumenti per la sentiment analysis di testi giornalistici. [Laurea specialistica], Università di Bologna, Corso di Studio in Informatica [LS-DM509] <http://amslaurea.unibo.it/view/cds/CDS0245/>

Relação

http://amslaurea.unibo.it/8396/

Direitos

info:eu-repo/semantics/openAccess

Palavras-Chave #entity extraction, semantic text classification, frame analysis methodology, sentiment analysis, newspaper articles analysis, automatic text classification #scuola :: 843899 :: Scienze #cds :: 0245 :: Informatica [LS-DM509] #sessione :: terza
Tipo

PeerReviewed