Using Machine Learning to Identify Instances of Cyberbullying on Social Media

R Jeevitha, K Chaitanya, N Mathesh… - … Computing and Data …, 2023 - ieeexplore.ieee.org
Bullying has moved online as a result of the technological revolution, which was previously
limited to physical boundaries. One type of cyber bullying is ridicule or insult. According to …

Cyber Bullying Detection on Social Media Using Machine Learning

M Saharan - Available at SSRN 4579714 - papers.ssrn.com
Abstract Cyber Crime Criminal activities or offences carried out in a digital environment can
be considered as cybercrime. In such crimes, either the computer itself is the target or the …

Cyberbullying detection in twitter using sentiment analysis

CP Theng, NF Othman, RS Abdullah… - … Journal of Computer …, 2021 - koreascience.kr
Cyberbullying has become a severe issue and brought a powerful impact on the cyber
world. Due to the low cost and fast spreading of news, social media has become a tool that …

Cyberbullying detection and hate speech identification using machine learning techniques

T Agrawal, VD Chakravarthy - 2022 Second International …, 2022 - ieeexplore.ieee.org
Bullying has been prevalent since the beginning of time, It's just the ways of bullying that
have changed over the years, from physical bullying to cyberbullying. According to Williard …

Spam detection using bidirectional transformers and machine learning classifier algorithms

Y Guo, Z Mustafaoglu… - Journal of Computational …, 2023 - ojs.bonviewpress.com
Spam email has accounted for a high percentage of email traffic and has created problems
worldwide. The deep learning transformer model is an efficient tool in natural language …

Detecting cybercrime: an evaluation of machine learning and deep learning using natural language processing techniques on the social network

A Amer, T Siddiqui, B Athamena - 2022 - researchsquare.com
The widespread use of online social networks has culminated in across-the-board social
communication among users, resulting in a considerable amount of user-generated contact …

[PDF][PDF] Cyber-Bullying Detection Using Machine Learning and Naïve Bayes and N-Gram Model

G Rao, M Goyal, D Wali, S Yadav - Innov. Res. Technol., 2021 - researchgate.net
Twitter, Instagram etc has altered our lives. People are mow connected to the world via
these social media channels. These social media platforms have remarkable features but …

New Approach for Detecting Spammers on Twitter using Machine Learning Framework

DP Sonawane, L Gunjal - Baisa, New Approach for Detecting …, 2020 - papers.ssrn.com
Social network sites involve billions of users around the world wide. User interactions with
these social sites, like twitter have a tremendous and occasionally undesirable impact …

A bert model for sms and twitter spam ham classification and comparative study of machine learning and deep learning technique

SS Raga, BL Chaitra - … on recent advances and innovations in …, 2022 - ieeexplore.ieee.org
With the high popularity of online social networks and with the prosperity of the SMS and
Tweets, the increasing number of spam messages has become a severe problem and …

Survey of Cyberbulling Detection on Social Media Big-Data.

N Tarwani, U Chorasia… - International Journal of …, 2017 - search.ebscohost.com
Opinion mining or sentiment analysis is considered as an important application of NLP
(Natural Language Processing). Opinion mining is extracting the views that people express …