Using Reviewer Information to Improve Performance of Low-Quality Review Detection
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-23804-8_30
Reference27 articles.
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2. Popescu, A.-M., Etzioni, O.: Extracting product features and opinions from reviews. In: Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP 2005), pp. 339–346 (2005)
3. Turney, P.D.: Thumbs up or thumbs down? semantic orientation applied to unsupervised classification of reviews. In: Proceedings of the Meeting of the Association for Computational Linguistics (ACL 2002), pp. 417–424 (2002)
4. Pang, B., Lee, L., Vaithyanathan, S.: . Thumbs up? sentiment classification using machine learning techniques. In: Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP 2002), pp. 79–86 (2002)
5. Kim, S.M., Pantel, P., Chklovski, T., Pennacchiotti, M.: Automatically assessing review helpfulness. In: Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP 2006), pp. 423–430 (2006)
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