SpSAN: Sparse self-attentive network-based aspect-aware model for sentiment analysis
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Computer Science
Link
https://link.springer.com/content/pdf/10.1007/s12652-021-03436-x.pdf
Reference88 articles.
1. Abbasi-Moud Z, Vahdat-Nejad H, Sadri J (2021) Tourism recommendation system based on semantic clustering and sentiment analysis. Expert Syst Appl 167:114324
2. Adhikari A, Ram A, Tang R, Lin J (2019) Docbert: Bert for document classification. CoRR, abs/1904.08398
3. Afzaal M, Usman M, Fong A (2019) Tourism mobile app with aspect-based sentiment classification framework for tourist reviews. IEEE Trans Consum Electron 65(2):233–242
4. Ajorlou A, Jadbabaie A, Kakhbod A (2018) Dynamic pricing in social networks: The word-of-mouth effect. Manag Sci 64(2):971–979
5. Anderson EW, Fornell C, Lehmann DR (1994) Customer satisfaction, market share, and profitability: findings from sweden. J Mark 58(3):53–66
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