Classifying deceptive reviews for the cultural heritage domain: A lexicon-based approach for the Italian language-Reference-Cited by-同舟云学术

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Classifying deceptive reviews for the cultural heritage domain: A lexicon-based approach for the Italian language

Published:2024-10 Issue: Volume:252 Page:124131
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Guarasci Raffaele^ORCID,Catelli Rosario^ORCID,Esposito Massimo^ORCID

Funder

European Union

Publisher

Elsevier BV

Reference121 articles.

1. Exploring destination’s negative e-reputation using aspect based sentiment analysis approach: Case of marrakech destination on TripAdvisor;Ali;Tourism Management Perspectives,2021

2. Baccianella, S., Esuli, A., Sebastiani, F., et al. (2010). Sentiwordnet 3.0: an enhanced lexical resource for sentiment analysis and opinion mining.. In Lrec, vol. 10, no. 2010 (pp. 2200–2204).

3. A theoretical framework to identify authentic online reviews;Banerjee;Online Information Review,2014

4. Using supervised learning to classify authentic and fake online reviews;Banerjee,2015

5. Sentiment analysis on Italian tweets;Basile,2013

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