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What makes a review helpful? Predicting the helpfulness of Italian tripadvisor reviews

Contributo in Atti di convegno
Data di Pubblicazione:
2019
Abstract:
In this paper we introduce a classification system devoted to predict the helpfulness of Italian online reviews. It is based on a wide set of features reflecting the different factors involved and tested on different categories of TripAdvisor reviews. For this purpose, we collected the first Italian corpus of online reviews enriched with metadata related to their helpfulness and we carried out an in-depth analysis of the most predictive features.
Tipologia CRIS:
04.01 Contributo in Atti di convegno
Keywords:
Natural Language Processing; Documenti Classification; Linguistic Profiling
Elenco autori:
Brunato, DOMINIQUE PIERINA; Dell'Orletta, Felice; Venturi, Giulia
Autori di Ateneo:
BRUNATO DOMINIQUE PIERINA
DELL'ORLETTA FELICE
VENTURI GIULIA
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/380338
Pubblicato in:
CEUR WORKSHOP PROCEEDINGS
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http://www.scopus.com/record/display.url?eid=2-s2.0-85074834351&origin=inward
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