Work

An Extractive Text Summarization approach for Analyzing Educational Institution’s Review and Feedback Data

Year: 2016

Type: article

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 semistructured 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.

Source: International Journal of Computer Applications

DOI: 10.5120/ijca2016910233

Authors: Jai Prakash, Atul Patel

Institutions: Nirma University, Charotar University of Science and Technology

Language: English

Topic: Sentiment Analysis and Opinion Mining

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: bronze

OpenAlex ID: W2443139478

FWCI: 0.199

Cites: 15

Cited by: 2

Related to: 9