• Vijay D. Bhakare
• Prof. Vipin wani

Students' casual discussions via web-based networking media (e.g., Twitter, Facebook) revealed insight into their instructive encounter’s sentiments, emotions, and worries about the learning procedure. Data from such instrumented situations can give significant Data to illuminate understudy learning. Dissecting such Data, in any case, can be testing. The multifaceted nature of understudies' encounters reflected from online networking content requires human understanding. Be that as it may, the developing size of Data requests programmed Data examination strategies. In this paper, we built up a work process to coordinate both subjective investigation and huge scale Data mining methods. We concentrated on designing understudies' Twitter presence on comprehending issues and issues in their instructive encounters. We previously directed a subjective examination on tests taken from around 25,000 tweets identified with designing understudies' school life. We discovered designing understudies experience issues, for example, overwhelming investigation stack, the absence of social commitment, and lack of sleep. In light of these outcomes, we executed a multi-name arrangement calculation to group tweets mirroring understudies' issues. We at that point utilized the calculation to prepare an identifier of understudy issues from around 35,000 tweets gushed at the Geo-area of Purdue University. This work, out of the blue, introduces a procedure and results that demonstrate how casual online life Data can give bits of knowledge into understudies’ encounters.

Education, computers and education, social networking, web text analysis

"Social Media Data Mining for Understanding The Students Learning: a Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.165-169, May-2019, Available :http://www.jetir.org/papers/JETIR1905A29.pdf

"Social Media Data Mining for Understanding The Students Learning: a Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp165-169, May-2019, Available at : http://www.jetir.org/papers/JETIR1905A29.pdf