Cross lingual transfer learning for sentiment analysis of Italian TripAdvisor reviews

作者：

Highlights：

• Use transfer learning from high to low resources languages to identify fake reviews.

• Propose a novel ad-hoc created dataset of TripAdvisor reviews in Italian.

• Identify the best fine-tuning approach improving performance of BERT language model.

摘要

•Use transfer learning from high to low resources languages to identify fake reviews.•Propose a novel ad-hoc created dataset of TripAdvisor reviews in Italian.•Identify the best fine-tuning approach improving performance of BERT language model.

论文关键词：Transfer learning,Sentiment analysis,Italian dataset,BERT,TripAdvisor,Reviews

论文评审过程：Received 6 August 2021, Revised 24 January 2022, Accepted 18 July 2022, Available online 27 July 2022, Version of Record 8 August 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.118246