Twitter spam account detection based on clustering and classification methods
Twitter social network has gained more popularity due to the increase in social activities of
registered users. Twitter performs dual functions of online social network (OSN), acting as a …
registered users. Twitter performs dual functions of online social network (OSN), acting as a …
Bert-and cnn-based tobeat approach for unwelcome tweets detection
Social media platforms have become an inevitable part of our lives today. Twitter is one such
major online social networking platform. Recently, it pointed to exponential growth with …
major online social networking platform. Recently, it pointed to exponential growth with …
Content based email spam classifier as a web application using Naïve Bayes classifier
Spam has emerged as a significant issue that is endangering the reliability of existing email
networks. The email has become an essential means of sharing information worldwide for …
networks. The email has become an essential means of sharing information worldwide for …
Interaction-based behavioral analysis of twitter social network accounts
This article considers methodological approaches to determine and prevent social media
manipulation specific to Twitter. Behavioral analyses of Twitter users were performed by …
manipulation specific to Twitter. Behavioral analyses of Twitter users were performed by …
Content-based spam email detection using an n-gram machine learning approach
NJ Euna, SMM Hossain, MM Anwar… - Applied Intelligence for …, 2023 - taylorfrancis.com
Recently, spam emails have become a significant problem with the expanding usage of the
Internet. It is to some extend obvious to filter emails. A spam filter is a system that detects …
Internet. It is to some extend obvious to filter emails. A spam filter is a system that detects …
Machine learning-based Naive Bayes approach for divulgence of Spam Comment in Youtube station
In the 21st Century, web-based media assumes an indispensable part in the interaction and
communication of civilization. As an illustration of web-based media viz. YouTube …
communication of civilization. As an illustration of web-based media viz. YouTube …
[PDF][PDF] A Profile Analysis of User Interaction in Social Media Using Deep Learning.
Accepted: 26 December 2020 It is highly important to detect malicious account interaction in
social networks with regard to political, social and economic aspects. This paper analyzed …
social networks with regard to political, social and economic aspects. This paper analyzed …
GraphSAGE-Based Spammer Detection Using Social Attribute Relationship
BY Jin, SC Li, JW Huang - … on Technologies and Applications of Artificial …, 2023 - Springer
Spammers have existed since the birth of the Internet. They constantly pollute the social
network environment, seriously degrade user experience and pose a threat to user account …
network environment, seriously degrade user experience and pose a threat to user account …
Detection of Twitter Spam with Language Models: A Case Study on How to Use BERT to Protect Children from Spam on Twitter
BM Jones, M Omar - 2023 Congress in Computer Science …, 2023 - ieeexplore.ieee.org
With the increasing use of social media platforms like Twitter, the problem of spam is
becoming more prevalent. This is especially concerning when it comes to children who use …
becoming more prevalent. This is especially concerning when it comes to children who use …
Analysis of ensemble learning models for identifying spam over social networks using recursive feature elimination
P Garg, SN Singh - … on Cloud Computing, Data Science & …, 2021 - ieeexplore.ieee.org
Social Networking platforms are regarded as being the reliable and valued communication
medium for transferring information and communicating, used by the millions throughout the …
medium for transferring information and communicating, used by the millions throughout the …