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An Extractive Text Summarization approach for Analyzing Educational Institution’s Review and Feedback Data
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 143 - Number 6 |
| Year of Publication: 2016 |
| Authors: Jai Prakash Verma, Atul Patel |
10.5120/ijca2016910233
|
Jai Prakash Verma, Atul Patel . An Extractive Text Summarization approach for Analyzing Educational Institution’s Review and Feedback Data. International Journal of Computer Applications. 143, 6 ( Jun 2016), 51-55. DOI=10.5120/ijca2016910233
Abstract
Big Data analytics helps the enterprises and institutions to understand and identify the usability of large amount of data generated by their routine operations. All most third forth part of these types of data is semi-structured text data. Many types of actionable insights can be found from these type of semi-structured text data that can help strategic management for making right decision. In this paper we are proposing a recommendation system model for understanding and finding actionable insight from the large amount of text data generated for an educational institution. Here we are discussing different type of data generation sources of this types of data as well as data cleaning processes required. The wordcloud for an educational institution is published that help strategic management for understanding the sentiment of different stack holders mainly students. Herewith we are identifying different types of findings from these sets of words that helps for betterment in the functionaries of an Educational Institution.
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