Insight into #MeToo using Sentiment Analysis

Authors

  • Aditi Jain SET, Ansal University Gurgaon, India
  • Prakul Tomar SET, Ansal University Gurgaon, India
  • Sherry Verma SET, Ansal University Gurgaon, India

Keywords:

Map reduce, Me Too movement, Mongo DB, Sentiment analysis, Sexual abuse, Social media, Twitter

Abstract

Twitter is a very popular social media platform to
address the problems faced by both common people as well as
popular people. In recent years, me too movement has taken
all over the twitter by the people belonging to all classes. This
paper has been written to display the various important
segments on this movement which might help the authorities
to reduce the sexual crime rate. The purpose of this paper is
to highlight the variations observed different segments of the
Me-Too movement tweets over a month. This paper also
shows the most popular tweets within the time period and the
occupations having the maximum number of sufferers. For
these predictions, Python libraries, Mongo DB and Map
Reduce function has been used for analysis and visualization
of the results.

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Published

2019-03-31

How to Cite

Aditi Jain, Prakul Tomar, & Sherry Verma. (2019). Insight into #MeToo using Sentiment Analysis. International Journal of Technical Innovation in Modern Engineering & Science, 5(19), -. Retrieved from https://ijtimes.com/index.php/ijtimes/article/view/3358

Issue

Vol. 5 No. 19 (2019): ICSC-2019 (International Conference on Smart Cities)

Section

Articles