Online ISSN: 2515-8260

Keywords : polarity identification


Sentimenatl Analysis To Improve Teaching And Learning

K. Sai Tulasi; N. Deepa

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 3, Pages 2194-2200

Today internet is playing a vital role in the modern world. From young aged children to old aged people are utilizing the technology. By the use of this technology to determine the mental taught of the student towards the learning environment the sentimental analysis method is performed. For this they created a separate portal for the student which has unique ID and password for individual one. Inside the web portal it consists of various sets of question and it records the performance of the student towards it. The feedback can be subdivided into three categories mainly positive, negative, and neutral. By using the feedback they can predict the sentiments of the student. By using the machine learning algorithm they can predict the sentiment of the students in the learning aspects. Student sentiment has been get distinguished by the use of the polarity. This is can uses the random forest algorithm. The random forest algorithm can provides the accuracy of about 92% with effective outcome.