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January 1, 2016Procedia Computer Science23 citationsOpen Access

Prediction of Online Lectures Popularity: A Text Mining Approach

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KOKavita S. OzaPNPoornima G. Naik

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Abstract

Text mining is an emerging area of research with flavors of opinion mining, sentiment mining, document classification, content mining etc. Another flavor of text mining is text clustering. Proposed work is based on clustering the comments posted by users to online learning. The dataset is prepared using comments posted by users for text mining video lectures using R and Weka. In the proposed work learners comments for online text mining lectures have been clustered to observe the popularity of the lectures by analyzing the terms in each cluster.

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Cite This Study

Oza et al. (2016) studied this question.

synapsesocial.com/papers/6a1be03cb33628da419cf51chttps://doi.org/10.1016/j.procs.2016.07.369
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