Journal article 160 views 107 downloads
Predicting ratings of social media feeds: combining latent-factors and emotional aspects for improving performance of different classifiers
Arghya Ray 
,
Pradip Kumar Bala ,
Nripendra P. Rana,
Yogesh Dwivedi
,
Pradip Kumar Bala ,
Nripendra P. Rana,
Yogesh Dwivedi
Aslib Journal of Information Management, Volume: 74, Issue: 6
Swansea University Author:
Yogesh Dwivedi
-
PDF | Accepted Manuscript
Released under the terms of a Creative Commons Attribution Non-Commercial License (CC-BY-NC)
Download (506.58KB)
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 |
|---|---|
| ISSN: | 2050-3806 |
| Published: |
Emerald
|
| Online Access: |
Check full text
|
| URI: | https://cronfa.swan.ac.uk/Record/cronfa59788 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Keywords: |
Emotional aspects, K-nearest neighbors, Max-entropy, Naive bayes, Rating prediction, Social media feed |
|---|---|
| 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 |