A SENTIMENT MINING APPROACH TO BIG DATA ANALYTICS – COMPARISON STUDY

Authors

  • Mrs.Raviya.K Assistant Professor & Research Scholar, Department of Computer Applications, Guru Nanak College, Chennai
  • Dr. Mary Vennila.S Associate Professor & Research Supervisor, PG & Research Department of Computer Science, Presidency College, Chennai.

Keywords:

Big Data; Big Data Analytics; Sentiment analysis; Sentiment classification; opinion mining; Predictive Analytics, SVM

Abstract

Sentiment Analysis is an unending and enduring research in the Text mining field. It is a technology to extract
the sentiment or opinion from a message to obtain the valuable information. Social media big data and machine learning
technology are widely used in sentiment classification because of their ability to “learn” from the trained dataset to predict
decision with relatively high accuracy. This paper deals with the importance of Big Data Analytics and how it is used in
sentiment analysis to track sentiment in social media big data. This paper intends to give a whole image of sentiment analysis
techniques and their comparisons.

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Published

2018-03-25

How to Cite

Mrs.Raviya.K, & Dr. Mary Vennila.S. (2018). A SENTIMENT MINING APPROACH TO BIG DATA ANALYTICS – COMPARISON STUDY. International Journal of Advance Engineering and Research Development (IJAERD), 5(3), 830–836. Retrieved from https://ijaerd.com/index.php/IJAERD/article/view/2791

Issue

Vol. 5 No. 3 (2018): Volume 5 Issue 3 March 2018

Section

Articles