Suspicious Activity Detection of Twitter and Facebook using Sentimental Analysis
Date
2020
Journal Title
Journal ISSN
Volume Title
Publisher
TEM journal
Abstract
The purpose of this study is to evaluate
the criminal behavior on the social media platforms
and to classify the gathered data effectively as negative,
positive, or neutral in order to identify a suspect. In
this study, data was collected from two platforms,
Twitter and Facebook, resulting in the creation of two
datasets. The following findings have been pointed out
from this study: Initially, VADER twitter sentimental
analysis showed that out of 5000 tweets 50.8% people
shared a neutral opinion, 39.2% shared negative
opinion and only 9.9% showed positive opinion.
Secondly, on Facebook, the majority of people showed
a neutral response which is 55.6%, 38.9% shared
positive response and only 5.6% shared negative
opinion. Thirdly, the score of sentiments and
engagement in every post affects the intensities of
sentiments.
Description
Keywords
Criminal behavior, social media
platforms, Twitter, Facebook, Part-of-Speech tagging,
Valance Aware Dictionary.
Citation
Saeed Al Mansoori et al. (2020) “Suspicious Activity Detection of Twitter and Facebook using Sentimental Analysis,” TEM Journal, 9(4), pp. 1313–1319.