Weighted summarization of student feedback using sentiment analysis

Sneha, and Bhat, Akshatha B and Kumar, Preetham (2014) Weighted summarization of student feedback using sentiment analysis. International Journal of Computer Application, 97 (3). pp. 1-8. ISSN 0975- 8887

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Abstract

Every year massive amount of feedback is gathered from students regarding subjects and its respective faculty. The amount of time to analyze this data manually is a very tedious and time consuming. This is where the summarization feature comes in topicture. It extracts important information found in every feedback document. Automatic summarization based on word frequency statistics takes comments and weights them to produce word frequency and then sentence frequency. Also, the sentiment information in these documents belongs to a wide spectrum ranging from positive to negative. Senti WordNet assigns sentiment numerical scores: positive or negative. Thus, providing clues for sentiment analysis. The spell-checker helps to rectify the incorrect words for proper implementation of those two concepts

Item Type: Article
Uncontrolled Keywords: Spell-checker, Sentiment Analysis, Text summarization
Subjects: Engineering > MIT Manipal > Information and Communication Technology
Depositing User: MIT Library
Date Deposited: 13 Aug 2014 04:23
Last Modified: 13 Aug 2014 04:26
URI: http://eprints.manipal.edu/id/eprint/140362

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