Apr 24, 2025 · A multiclass classifier for Toxic comment classification is trained to detect various degrees of toxicity in comments, such as mild toxicity, severe toxicity, and non-toxic …

This project tackles toxic comments using Deep Learning (LSTM/CNN). Classify comments (toxic/non-toxic) & predict categories (threat, insult, etc.). Clean text data & evaluate model …

By employing advanced NLP methodologies, our analysis seeks to identify and categorize different types of toxic comments, including but not limited to those categorized as obscene, …

For this purpose, we propose a method that removes toxic words from the source sentence using a similarity function with a toxic vocabulary. We present two models that leverage it, namely,...

Jan 26, 2021 · Comments containing explicit language can be classified into myriad categories such as Toxic, Severe Toxic, Obscene, Threat, Insult, and Identity Hate. The threat of abuse …

propose a model that outperforms them all when compared side by side. For the reasons stated above, we used the Kaggle dataset, which is a well-known and valuable resource for academ.

Explore the comprehensive system architecture for toxic comment detection, from input processing to classification output using ML models.

In the realm of sub-toxic comment classification, the objective is to develop a deep learning-based model capable of accurately distinguishing between subtle forms of toxicity and non-toxicity in …

May 30, 2018 · Example showing 2 toxic and 1 non-toxic comment. Given a group of sentences or paragraphs, used as a comment by a user in an online platform, classify it to belong to one or …

roached for computational purposes for the text classification systems. In this work, we utilize this way to deal with finding toxic comments, remarks in an extensive pool of records given by a …