Open-source browser extension clients for YouTube & Bilibili comment analysis. Self-hostable; hosted backend stays private.
Cross-platform comment exporter & GPT-powered insight tool. Extract and analyze discussions from Xiaohongshu and Reddit with your own API key.
A new package that analyzes social media post text to extract structured insights about audience engagement patterns, such as identifying common themes in highly liked content or predicting potential
An assesment project for - multi-agent comment analysis system featuring semantic search, LLM-based categorization, and automated insight extraction with comprehensive analytics pipeline.
SocialDataX / ็คพๅชๆฐๆฎๅฉๆ OpenCLI plugin for ๅฐ็บขไนฆ Xiaohongshu XHS RedNote and ๆ้ณ Douyin read-only social data workflows.
End-to-end YouTube Audience Intelligence Platform leveraging Hugging Face Transformers, FastAPI, and Ollama to convert audience feedback into actionable creator insights.
CommentSense is an intelligent tool that leverages OpenAIโs Large Language Models (LLMs) to analyze YouTube comments and generate high-level feedback for content creators. Just paste a YouTube link, and CommentSense will summarize what your audience thinks โ the good, the bad, and what they want next.
Advanced Telugu sentiment analysis for YouTube comments using Meta Llama 3.2 with 4-bit quantization. Features interactive dashboard, code-mixed text support, real-time processing, and comprehensive evaluation metrics. Perfect for analyzing Telugu social media content and movie reviews.
Sentimental Analysis of comments on YouTube videos. Classify comments as positive, negative, or neutral. Provide visualizations to display the distribution of the sentiments.
rfetcher is a powerful Python CLI tool for scraping and categorizing Reddit content with intelligent filtering. Designed for researchers and data analysts, it extracts structured discussions while filtering noise like subreddit references and meta-comments. Outputs organized JSON data with nested comments, post metadata, and category tagging.
Extract comments from Instagram posts (Reels, Feed) and merge them into a single text file. Perfect for research, sentiment analysis, and social media data processing.
This project performs sentiment analysis on comments scraped from Hespress articles. It uses a big data pipeline consisting of Apache Kafka, Apache Spark, HDFS, and MongoDB to process and store the data.
ๅฟซๆ MCP / Kuaishou MCP / Kwai MCP by SocialDataX for hot list, work search, details, comments, replies, creator profiles, and works.
SocialDataX skills for Xiaohongshu, XHS, RedNote, and Douyin content research
๐ CommentPilot - Lightweight Code Comment Quality Intelligent Analysis Engine | ่ฝป้็บงไปฃ็ ๆณจ้่ดจ้ๆบ่ฝๅๆๅผๆ - Zero dependencies, multi-language support, coverage analysis, quality scoring, TODO tracking
End-to-end YouTube comment analytics pipeline built using Python and YouTube Data API v3. Extracts comments & replies, performs keyword analysis, and generates structured datasets for analytics.
ๆ้ณ MCP / Douyin MCP by SocialDataX for hot search, work search, work details, comments, comment replies, creator profiles, creator works, and creator series.
๐ Scrape and export comment data from Xiaohongshu, Reddit, and X.com to CSV, accessing detailed post and author info with ease.
๐งโ๐ปAI ๊ธฐ๋ฐ ์ ํ๋ธ ๋๊ธ ๋ถ์ ๋ฐ ์ฌ์ฉ์ ๋ฐ์ ์ธ์ฌ์ดํธ ๋์ถ ์์คํ - ํฌ๋ฆฌ์์ดํฐ ๋ฐ MCN ๋์ ํ๋ซํผ
Analyze comments on YouTube videos using AI model.
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