A review on deep-learning-based cyberbullying detection
Bullying is described as an undesirable behavior by others that harms an individual
physically, mentally, or socially. Cyberbullying is a virtual form (eg, textual or image) of …
physically, mentally, or socially. Cyberbullying is a virtual form (eg, textual or image) of …
Impact of SMOTE on imbalanced text features for toxic comments classification using RVVC model
Social media platforms and microblogging websites have gained accelerated popularity
during the past few years. These platforms are used for expressing views and opinions …
during the past few years. These platforms are used for expressing views and opinions …
The challenges and approaches during the detection of cyberbullying text for low-resource language: A literature review
Objective: The primary intent of this paper is to review related studies that are more
corresponding to the detection offive variants of cyberbullying text, such as abusive, hateful …
corresponding to the detection offive variants of cyberbullying text, such as abusive, hateful …
Classification of social media Toxic comments using Machine learning models
K Poojitha, AS Charish, M Reddy… - arxiv preprint arxiv …, 2023 - arxiv.org
The abstract outlines the problem of toxic comments on social media platforms, where
individuals use disrespectful, abusive, and unreasonable language that can drive users …
individuals use disrespectful, abusive, and unreasonable language that can drive users …
PCA-AdaBoost Method for a Low Bias and Low Dimension Toxic Comment Classification.
Toxic comment classification can be a solution to reduce the impact of one of these forms of
online harassment, where the term frequency-inverse document frequency (TF-IDF) …
online harassment, where the term frequency-inverse document frequency (TF-IDF) …
Fear of Expansion and Domination: Toxic and Ethnic Frames Amidst Call to# SayNoToRUGA on Nigerian Twittersphere
Nigerians have, over the years, lived with mutual distrust, often escalated by ethnoreligious
sentiments and sectional profiling. Government policies, for example, are at times seen …
sentiments and sectional profiling. Government policies, for example, are at times seen …
[HTML][HTML] Unveiling disguised toxicity: A novel pre-processing module for enhanced content moderation
Abstract This study introduces “Specialis Revelio,” a sophisticated text pre-processing
module aimed at enhancing the detection of disguised toxic content in online …
module aimed at enhancing the detection of disguised toxic content in online …
Quantifying the intensity of toxicity for discussions and speakers
In this work, from YouTube News-show multimodal dataset with dyadic speakers having
heated discussions, we analyze the toxicity through audio-visual signals. Firstly, as different …
heated discussions, we analyze the toxicity through audio-visual signals. Firstly, as different …
Vulgar Comments Classification: Comparison between CNN, XGBoost and SVM
R Razzak, STO Taki, MR Mim, MSH Patwary, MI Pavel - 2023 - researchsquare.com
In recent years, there has been significant growth in information technology and a disruptive
transformation of social media. Popular websites like Facebook, Twitter, and Instagram have …
transformation of social media. Popular websites like Facebook, Twitter, and Instagram have …
Customer Segmentation using Mini Batch K-Means Clustering Algorithm
P Sudarsanam, CSB Yadav, PV Reddy… - 2024 8th …, 2024 - ieeexplore.ieee.org
Today, especially in this era of data, everything is becoming more mechanized. Data is the
new electricity of the globe. This knowledge may help a lot of businesses in their marketing …
new electricity of the globe. This knowledge may help a lot of businesses in their marketing …