Open-source browser extension clients for YouTube & Bilibili comment analysis. Self-hostable; hosted backend stays private.
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
Cross-platform comment exporter & GPT-powered insight tool. Extract and analyze discussions from Xiaohongshu and Reddit with your own API key.
An assesment project for - multi-agent comment analysis system featuring semantic search, LLM-based categorization, and automated insight extraction with comprehensive analytics pipeline.
CommentSense is an intelligent tool that leverages OpenAI’s 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 — the good, the bad, and what they want next.
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.
Sentimental Analysis of comments on YouTube videos. Classify comments as positive, negative, or neutral. Provide visualizations to display the distribution of the sentiments.
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.
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.
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.
Analyze comments on YouTube videos using AI.
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.
🧑💻AI 기반 유튜브 댓글 분석 및 사용자 반응 인사이트 도출 시스템 - 크리에이터 및 MCN 대상 플랫폼
🌌 Scrape and export comment data from Xiaohongshu, Reddit, and X.com to CSV, accessing detailed post and author info with ease.
🔍 CommentPilot - Lightweight Code Comment Quality Intelligent Analysis Engine | 轻量级代码注释质量智能分析引擎 - Zero dependencies, multi-language support, coverage analysis, quality scoring, TODO tracking
小红书 MCP / Xiaohongshu XHS RedNote MCP by SocialDataX，支持笔记搜索、笔记详情、评论、评论回复、博主信息和博主笔记列表，for note search, note details, comments, creator profiles, and creator note lists.
SocialDataX / 社媒数据助手 OpenCLI plugin for 小红书 Xiaohongshu XHS RedNote and 抖音 Douyin read-only social data workflows.
🛡️ Detect and catalog developer comments and potential secrets in HTTP responses with Comment Crusader for Burp Suite, enhancing your security assessments.
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