Data properties and the performance of sentiment classification for electronic commerce applications
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DOI: 10.1007/s10796-017-9741-7
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- Adah-Kole Emmanuel Onjewu & Sundas Hussain & Mohamed Yacine Haddoud, 2022. "The Interplay of E-commerce, Resilience and Exports in the Context of COVID-19," Information Systems Frontiers, Springer, vol. 24(4), pages 1209-1221, August.
- Wei-Lun Chang & Yi-Pei Chen, 2019. "Way too sentimental? a credible model for online reviews," Information Systems Frontiers, Springer, vol. 21(2), pages 453-468, April.
- Wang, Zheng & Wang, Lun & Ji, Ying & Zuo, Lulu & Qu, Shaojian, 2022. "A novel data-driven weighted sentiment analysis based on information entropy for perceived satisfaction," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).
- Tamal Mondal & Prithviraj Pramanik & Indrajit Bhattacharya & Naiwrita Boral & Saptarshi Ghosh, 2018. "Analysis and Early Detection of Rumors in a Post Disaster Scenario," Information Systems Frontiers, Springer, vol. 20(5), pages 961-979, October.
- Pons, Adrià & Vintrò, Carla & Rius, Josep & Vilaplana, Jordi, 2021. "Impact of Corporate Social Responsibility in mining industries," Resources Policy, Elsevier, vol. 72(C).
- A. Geethapriya & S. Valli, 2021. "An Enhanced Approach to Map Domain-Specific Words in Cross-Domain Sentiment Analysis," Information Systems Frontiers, Springer, vol. 23(3), pages 791-805, June.
- Luvai Motiwalla & Amit V. Deokar & Surendra Sarnikar & Angelika Dimoka, 2019. "Leveraging Data Analytics for Behavioral Research," Information Systems Frontiers, Springer, vol. 21(4), pages 735-742, August.
- Vijayan Sugumaran & T. V. Geetha & D. Manjula & Hema Gopal, 2017. "Guest Editorial: Computational Intelligence and Applications," Information Systems Frontiers, Springer, vol. 19(5), pages 969-974, October.
- Zheng Xie & Guannan Liu & Jinming Qu & Junjie Wu & Hong Li, 2022. "Identifying Structural Holes for Sentiment Classification," Information Systems Frontiers, Springer, vol. 24(5), pages 1735-1751, October.
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Keywords
Sentiment classification; Opinion mining; Data properties; Comparative analysis; Sentiment orientation approach; Machine learning approach;All these keywords.
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