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With the widespread use of online social networks and their popularity, social networking platforms have provided us with innumerable chances not previously ...
Missing: published | Show results with:published
This study discusses effective techniques used to detect online abusive and bullying messages by merging natural language processing and machine learning ...
Missing: IJARIIT | Show results with:IJARIIT
Oct 6, 2018 · A machine learning approach towards social media to tackle cyberbullying ; Pub. Date. 06 October, 2018 ; Paper ID. V4I5-1337 ; Publisher. IJARIIT.
Missing: study | Show results with:study
This paper focuses on the data mining and machine learning techniques which have been proposed to detect and prevent cyberbullying and implements one such ...
Missing: IJARIIT | Show results with:IJARIIT
In this work, we show a group of previous studies that used machine learning and deep learning algorithms in good attempts to detect and classify the phenomenon ...
In this work we have devised methods to detect cyberbullying using supervised learning techniques. Cyber bullying is the use of technology as a medium to bully ...
A Survey on Monitoring and Detecting Cyber Bullying Activities using Machine Learning Algorithms. Social Media Cyberbullying Detection using Machine Learning.
Cyberbullying detection is being developed to evaluate various forms of content and spot instances of the behaviour using machine learning techniques like SVM[ ...
Missing: IJARIIT | Show results with:IJARIIT
Aug 6, 2024 · This study offers a comprehensive comparative analysis of various machine-learning techniques to detect and classify cyberbullying. Using ...
Jul 26, 2022 · The objective of this work is to build a CNN-BiLSTM deep learning detection model that can detect cyberbullying content in tweets posted by ...
Missing: IJARIIT | Show results with:IJARIIT
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