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MFS-LDA: a multi-feature space tag recommendation model for cold start problem., , , , , , , and . Program, 51 (3): 218-234 (2017)Predictive Model Using a Machine Learning Approach for Enhancing the Retention Rate of Students At-Risk., , , and . Int. J. Semantic Web Inf. Syst., 18 (1): 1-21 (2022)CommuniMents: A Framework for Detecting Community Based Sentiments for Events., , , , , , , , , and . Int. J. Semantic Web Inf. Syst., 13 (2): 87-108 (2017)Predicting literature's early impact with sentiment analysis in Twitter., , , , , , , and . Knowl. Based Syst., (2020)Word cloud segmentation for simplified exploration of trending topics on Twitter., , , and . IET Softw., 11 (5): 214-220 (2017)Part of Speech Tagging in Urdu: Comparison of Machine and Deep Learning Approaches., , , , , , and . IEEE Access, (2019)Connections between e-learning, web science, cognitive computation and social sensing, and their relevance to learning analytics: A preliminary study., , , , and . Comput. Hum. Behav., (2019)Significance of Learning Analytics in Enhancing the Mobile and Pervasive Learning Environments., and . NGMAST, page 70-74. IEEE, (2012)Uncovering Associations Between Cognitive Presence and Speech Acts: A Network-Based Approach., , , , , , and . LAK, page 315-325. ACM, (2022)Success-Enablers of Learning Analytics Adoption in Higher Education: A Quantitative Ethnographic Study., , , , , , and . ICQE, volume 1522 of Communications in Computer and Information Science, page 395-409. Springer, (2021)