Sentimental and Lexical Analysis in E-Learning


Authors : Abisha Jebamalar.T, Kavana.P, Joice Vimala.G, Minju P George.

Volume/Issue : Volume 4 - 2019, Issue 3 - March

Google Scholar : https://goo.gl/DF9R4u

Scribd : https://bit.ly/2Kfpkmb

Thomson Reuters ResearcherID : https://goo.gl/KTXLC3

The goal of the project is to build up an input deduction framework by extricating understudies criticism from an e-learning stage. The task gives a solid showing learning condition by improving the instructing nature of instructors by removing characterizing and in a split second investigating the literary input from the understudies for a specific address session. The work shows a methodology for recognizing the feelings of understudies in e-learning condition for example moodle modular object-oriented dynamic learning environment by doing printed examination with regards to the extraction of the passionate condition of the understudy. In this work the opinion classifier apparatus svm support vector machine is utilized in early works it has been demonstrated that svm furnishes brilliant precision even with vast informational index when contrasted with numerous different classifiers. The undertaking recognizes the understanding or difference proclamations that maps with positive or negative sentiments in the criticism given by the understudies.

Keywords : Moodle, Feedback, Sentiment Analysis, SVM and E-Learning.

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