SentNA @ ATE_ABSITA: Sentiment Analysis of Customer Reviews Using Boosted Trees with Lexical and Lexicon-based Features (short paper)

Francesco Mele, Antonio Sorgente, Giuseppe Vettigli


Anthology ID:
2020.evalita-1.12
Volume:
Proceedings of the Seventh Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2020)
Month:
December
Year:
2020
Address:
Online
Editors:
Valerio Basile, Danilo Croce, Maria Di Maro, Lucia C. Passaro
Venues:
EVALITA | WS
SIG:
Publisher:
CEUR Workshop Proceedings
Note:
Pages:
63–67
Language:
URL:
https://aclanthology.org/2020.evalita-1.12/
DOI:
Bibkey:
Cite (ACL):
Francesco Mele, Antonio Sorgente, and Giuseppe Vettigli. 2020. SentNA @ ATE_ABSITA: Sentiment Analysis of Customer Reviews Using Boosted Trees with Lexical and Lexicon-based Features (short paper). In Proceedings of the Seventh Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2020), pages 63–67, Online. CEUR Workshop Proceedings.
Cite (Informal):
SentNA @ ATE_ABSITA: Sentiment Analysis of Customer Reviews Using Boosted Trees with Lexical and Lexicon-based Features (short paper) (Mele et al., EVALITA 2020)
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PDF:
https://aclanthology.org/2020.evalita-1.12.pdf