The existing segmentation-based scene text detection methods mostly need complicated
post-processing, and the post-processing operation is separated from the training process …

In an era where social media platforms burgeon with diverse content, compelling
moderation is imperative to filter harmful materials. Traditional methods often grapple with …

Internet memes, channels for humor, social commentary, and cultural expression, are
increasingly used to spread toxic messages. Studies on the computational analyses of toxic …

The surge in hate speech on social media, notably platforms like Twitter, is a mounting
concern due to its potential harm to individuals and entire communities, fostering toxicity …

Social media platforms have become integral parts of modern communication, facilitating
vast networks of interaction and information exchange. However, the ubiquitous nature of …

Comparing the Novel Gaussian Naive Bayes method with Logistic Regression for Hate
Speech Prediction with the aim of increasing accuracy. Materials and Methods: This …

Memes are a visual representation of images with text embedded in them that conveys the
thoughts and feelings of a peculiar audience and is mainly intended to elicit humor. It is …

Convolutional Neural Network (CNN) is a frequent-deep learning algorithm that is powerful
in classifying image and text data, the system analyses individual tweets in order to …