Hybrid Deep Learning Based Model on Sentiment Analysis of Peer Reviews on Scientific Papers

Author:

Sarkar Ritika,Singh Prakriti,Jaber Mustafa Musa,Nandan Shreya,Mishra Shruti,Satapathy Sandeep Kumar,Pattnaik Chinmaya Ranjan

Publisher

Springer Nature Switzerland

Reference19 articles.

1. Chakraborty, S., Goyal, P., Mukherjee, A.: Aspect-based sentiment analysis of scientific reviews. In: Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2020, pp. 207–216. Association for Computing Machinery, New York, NY, USA (2020)

2. Keith, B., Meneses, C.: A hybrid approach for sentiment analysis applied to paper reviews (2017)

3. Kang, D., et al.: A dataset of peer reviews (PeerRead): collection, insights and NLP applications. In: NAACL 2018 (2018)

4. Fernández Anta, A., Morere, P., Chiroque, L.F., Santos, A.: Techniques for sentiment analysis and topic detection of Spanish tweets: preliminary report. In: Spanish Society for Natural Language Processing Conference (SEPLN 2012), September 2012

5. Aue, A., Gamon, M.: Customizing sentiment classifiers to new domains: a case study. In: Proceedings of Recent Advances in Natural Language Processing (RANLP), vol. 1, no. 3.1, p. 2-1, September 2005

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