Positivity Calculation using Vader Sentiment Analyzer

Authors

  • Dr Balajee Maram, Associate Professor
  • S Mukunda Rao Associate Professor
  • N Monica
  • T Tejasri

Keywords:

VADER, Cloud, Online Mediums, Polarity Scores

Abstract

Nowadays the data in online platforms is huge to make a reasonable
analysis for as long as a final view as either positive or negative. Even to
buy a product, suggestions and guidance from the neighbors is needed
in traditional days. Certain important events in daily life take place which
are posted in online mediums. Everyone these days shows an inclination
to know about a particular issue or event. In this regard, deploying the
data from various users in the cloud enables us to store and perform
various methods and applications on the data in the cloud. To get a
view as either positive or negative and how positive the content reflects
about the happenings in the world. In this paper the application of a
Vader tool on the data stored in the cloud to analyses and score the
polarities is provided. It gives the positivity of the content stores under
a particular keyword. By measuring the polarity scores of each word,
it provides the aggregated scores of overall texts under the particular
keyword. This submission assigns scores to the emojis expressed in the
content stored in cloud and provides a final view as either positive or
negative and enhances the positivity score.

Author Biographies

Dr Balajee Maram,, Associate Professor

balajee.m@hotmail.com

CSE, GMRIT.

S Mukunda Rao, Associate Professor

 GMR
Institute of Technology, Rajam, India.

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Published

2020-06-14