Popular GitHub Repositories for Comment

Introducing DeToxify – the ultimate toxicity buster. Armed with NLP superpowers, it sniffs out harmful comments, neutralizes negativity, and rewrites toxicity into pure class. Think of it as Jarvis for your online spaces—making the internet a kinder, smarter place, one comment at a time.

Youtube Bot Auto Comment

Mimix: A Text Generation Tool and Pretrained Chinese Models

source code for 'Improving automatic source code summarization via deep reinforcement learning'

A liking and comment system for the Gemini protocol.

Advanced Python-based Twitter (X.com) automation framework using Selenium and LLMs (OpenAI, Gemini) for multi-account scraping, posting, engagement, and content analysis. Modular and configurable.

Toxic Language Detection in Social Media for Brazilian Portuguese: New Dataset and Multilingual Analysis

A web-app to identify toxic comments in a youtube channel and delete them.

YouTube Sentiment Analysis is a web application that analyzes the sentiment of YouTube comments, providing insights into comment sentiment using VADER sentiment analysis and interactive visualizations.

Hepsiburada review/comment and rating scraper. Turkish text dataset creator for data science and NLP projects. ?

Digikala online market has recently published some open source data in various categories. Since I always wanted to do some NLP project, so I thought of some useful tutorials in python for newcomers. I really hope this could be useful for you guys. I still keep updating the package and also will share the link of video and article related to this post soon!

AiCC Comments Reply with GPT(OpenAi) is a plugin that uses OpenAI's GPT to automatically reply to comments on your WordPress website. The plugin adds a "Reply with AI" button to the comment line actions, which when clicked, sends the comment text to OpenAI's GPT API and returns a suggested response ...

This GitHub repository provides an implementation of the paper "MAGNET: Multi-Label Text Classification using Attention-based Graph Neural Network" . MAGNET is a state-of-the-art approach for multi-label text classification, leveraging the power of graph neural networks (GNNs) and attention mechanisms.

Deep Learning for Toxic Comment Classification

Collection of Deep Learning Text Classification Models in Keras; Includes a GPU tutorial.

The Toxic Comment Classification project is an application that uses deep learning to identify toxic comments as toxic, severe toxic, obscene, threat, insult, and identity hate based using various NLP algorithm

The official code to reproduce results from the NACCL2019 paper: White-to-Black: Efficient Distillation of Black-Box Adversarial Attacks

Created a Flask API? which can detect toxicity in comment(text)? using NLP-BERT?. Following MLOps lifecycle? to deploy ML system in production?

Real-time YouTube comment sentiment analysis using Kafka, Spark, and Streamlit dashboard.

Comment toxicity classification using Karas/TensorFlow