An Integrated Framework for Automated Web Scraping and Sentiment Analysis of Product Reviews

Author:

Arboretti Rosa,Barusco Manuel,Barzizza Elena,Biasetton Nicolò,Ceccato Riccardo,Ferro Davide,Salmaso Luigi,Vezzosi Giacomo

Publisher

Avestia Publishing

Reference25 articles.

1. P. F. Christiano, J. Leike, T. Brown, M. Martic, S. Legg e D. Amodei, «Deep reinforcement learning from human preferences,» Advances in neural information processing systems, vol. 30, 2017.

2. L. Ouyang, J. Wu, X. Jiang, D. Almeida, C. L. Wainwright, P. Mishkin, C. Zhang, S. Agarwal, K. Slama, A. Ray e others, «Training language models to follow instructions with human feedback, 2022,» URL https://arxiv. org/abs/2203.02155, vol. 13, 2022.

3. B. Liu, Sentiment analysis: Mining opinions, sentiments, and emotions, Cambridge university press, 2020.

4. I. Chaturvedi, E. Cambria, R. E. Welsch e F. Herrera, «Distinguishing between facts and opinions for sentiment analysis: Survey and challenges,» Information Fusion, vol. 44, p. 65–77, 2018.

5. İ. A. Özen e E. Özgül Katlav, «Aspect-based sentiment analysis on online customer reviews: a case study of technology-supported hotels,» Journal of Hospitality and Tourism Technology, vol. 14, p. 102–120, 2023.

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