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Predicting ratings of social media feeds: combining latent-factors and emotional aspects for improving performance of different classifiers
Aslib Journal of Information Management, Volume: 74, Issue: 6
Swansea University Author: Yogesh Dwivedi
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DOI (Published version): 10.1108/ajim-12-2021-0357
Abstract
Predicting ratings of social media feeds: combining latent-factors and emotional aspects for improving performance of different classifiers
Published in: | Aslib Journal of Information Management |
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ISSN: | 2050-3806 |
Published: |
Emerald
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Online Access: |
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URI: | https://cronfa.swan.ac.uk/Record/cronfa59788 |
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Keywords: |
Emotional aspects, K-nearest neighbors, Max-entropy, Naive bayes, Rating prediction, Social media feed |
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College: |
Faculty of Humanities and Social Sciences |
Funders: |
The infrastructural support provided by IMI Kolkata, IIM Ranchi, Swansea University, Symbiosis International (Deemed University) and Qatar University in completing this paper is gratefully acknowledged. |
Issue: |
6 |