Toxic Comment Analyzer using BERT: A Deep Learning Approach for Toxicity Detection
Richa Singh, Rekha Kashyap, Vikrant Sharma · 2023
With the good hike of social and communication platforms, a significant increase in the volume of user-generated content is produced. Unfortunately, this surge in online interactions has also led to an increase in toxic and offensive comments. Toxic comments not only contribute to a negative online environment but also have the potential to harm individuals and communities. Consequently, the development of automated methods for detecting toxic comments has become imperative. In this research paper, we propose a toxic comment analyzer using BERT to address this issue. Our approach demonstrates the effectiveness of leveraging pre-trained language models for identifying toxic language, with promising results of 97% accuracy on benchmark datasets.