On numerous social networking networks, women endure significant degrees of cruelty and abuse, ranging from exploitation to violence. This research study examines the influence of internet media in improving the lives of adolescent girls in Indian cities, with an emphasis on online news sites. This research article examines the impact of online media in improving the safety of young girls in Indian cities, with a particular focus on the usage of social media sites and applications like Twitter, Facebook, and Instagram. This research is based on an old Indian square measure that is frequently impacted by Indian culture’s paradigm change, which indicates that we must always be careful of the safety of young females in India. Tweets on Twitter, which typically contain pictures, messages, and created messages and proclamations that address critical expert in the security of children in Indian urban networks, are frequently used to spread a message among the Indian subculture and train individuals to demand demanding action and repel the people who bother the ladies. This document is used to deal with complications resulting from photographs and text from Twitter posts, and it connects them to CNN’s local area.

1.
Sharma
,
Vidushi
. "
Sexual Harassment of Women at Work Place in India
."
Amity Global HRM Review
8
(
2018
).
2.
Krishna
,
Mani
,
Mukesh
Yadav
, and
Harnam
Singh
. "
SexualHarassment in Medical College: KAP Study among Medical Students
."
Journal of Indian Academy of Forensic Medicine
34
.
3
(
2012
):
199
202
.
3.
Marron
,
Kelly
Souza
. "
Participatory Research Study into the Sexual Harassment of Domestic Workers in Gurgaon and South Delhi, India and the# MeToo Movement.
"
New Delhi, India
:
Martha Farrell Foundation
(
2019
).
4.
Agarwal
,
Apoorv
,
Fadi
Biadsy
, and
Kathleen
Mckeown
. "
Contextual phrase-level polarity analysis using lexical affectscoring and syntactic n-grams
."
Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009)
.
2009
.
5.
Barbosa
,
Luciano
and
Junlan
Feng
. "
Robust sentiment detection on twitter from biased and noisy data
."
Coling 2010: Posters.
2010
.
6.
Bermingham
,
Adam
, and
Alan F.
Smeaton
. "
Classifying sentimentin microblogs: is brevity an advantage?
"
Proceedings of the 19th ACM international conference on Information and knowledge management
.
2010
.
7.
Gamon
and
Michael
. "
Sentiment classification on customer feedback data: noisy data, large feature vectors, and the role of linguistic analysis
."
COLING 2004: Proceedings of the 20th International Conference on Computational Linguistics
.
2004
.
8.
Chithambarathanu
and
Ganesh
"
Character Recognition Tamil Language in Printed Images using Convolutional Neural Network (CNN) analysis
"
4th International Conference on Computing and Communication Technologies
,
2022
.
9.
Chithambarathanu
and
Ganesh
"
Tweet Analysis for Women’s Safety
"
4th International Conference on Computing and Communication Technologies, 4th International Conference on Computing and Communication Technologies
, Digital IEEE Xplore
2022
.
10.
Chithambarathanu
and
Ganesh
, "
Mobile based Intelligent Baby Monitoring system with Live video streaming
"
International Journal of Special Education
, ISSN:0827-3383, Volume
7
, No
3
, pp
14288
14299
,
2022
.
11.
Chithambarathanu
and
Ganesh
"
RGB Image Edge Detection using Fuzzy Logic to Infer the Function of Triangle and Trapezoidal Key Members
"
2nd International Conference on Smart Electronics and communication 2021
, Digital IEEE Xplore
2022
.
12.
Gupta
and
Bhumika
,
International Journal ofComputer Applications
165
,
29
34
(
2017
).
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