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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
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← Back to VOLUME 7, ISSUE 4, APRIL 2018

Intelligent Feedback System Using Latent Semantic Analysis

Tejesh Gaikwad, Shantanu Mirashi, Rahul Shinde, Pradip Shinde, Prof. S. A. Deshpande

DOI: 10.17148/IJARCCE.2018.7410

Abstract: Feedback is most important for any organization to analyse and improve. Getting accurate feedback within time is important for an organization to grow. The purpose of this project is to get online feedback from the students� comments. The comments will be analyzed using the latent semantic analysis and then show the summarized results in the text format. The system takes a student�s comment given on the lecture and analyses it to provide better performance of the lectures. The feedback system uses the semantic analysis to understand the meanings of the comments, after finding the Sentiment of student�s comments and summarizes the result. After the analysis, summarization is done and the result is shown. After the process is done system shows the quality of the lectures.



Keywords: Sentiment analysis, NLP

How to Cite:

[1] Tejesh Gaikwad, Shantanu Mirashi, Rahul Shinde, Pradip Shinde, Prof. S. A. Deshpande, “Intelligent Feedback System Using Latent Semantic Analysis,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2018.7410