A Study on the Techniques of Sentiment Analysis for Unstructured Data using Big Data Analytics

Authors

  • Renuka Devi D  Department of Computer Science, Stella Maris College, Chennai, India
  • Dr. Swetha Margaret T A  Department of Computer Science, Stella Maris College, Chennai, India

Keywords:

Opinion mining, Sentiment analysis, Unstructured data, Big Data

Abstract

The real time unstructured data often refers to the information that doesn’t follow the conventional storage of information in a row-column database. Unlike structured data it does not fit into relational databases. It is responsible for the Variety, one of the four V’s of Big Data. Sources like satellite images, sensor readings, email messages, social media, web blogs, survey results, audio, videos etc., follow unstructured data. Organizations go beyond “basic” analytics and dive deeper into unstructured data to do things such as predictive analytics, temporal and geospatial visualization, sentiment, and much more. The objective of this paper is to confer model of sentiment analysis and its various techniques. Future research directions in this field are determined based on opportunities and several open issues in Big Data analytics.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2018-04-30

Issue

Volume 3, Issue 3, March-April-2018

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Renuka Devi D, Dr. Swetha Margaret T A, " A Study on the Techniques of Sentiment Analysis for Unstructured Data using Big Data Analytics, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 3, pp.223-227, March-April-2018.