An assesment project for - multi-agent comment analysis system featuring semantic search, LLM-based categorization, and automated insight extraction with comprehensive analytics pipeline.
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
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.
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.
一个支持中英文的 Codex Skill，用于按完整流程分析评论、用户反馈和社媒内容，输出主题发现、方面级观点、原文证据、优先级排序和可执行业务建议。如果您想持续获取评论分析流程、字段模板和示例更新，可以点击 Watch 订阅仓库更新。
本地运行的 B站视频+评论智能分析 Agent：字幕/转写 → 关键帧OCR → 评论挖掘 → DeepSeek 结构化深度报告。FastAPI + 免构建 Vue3，Docker 一键部署。
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.
Turn public comments into evidence-grounded insights and strategy cards with a Multi-Agent workflow.
从抖音/小红书评论区挖下期选题：抓取粉丝评论自动归类诉求，输出带原声引用的选题清单；评论库本地沉淀，抓过的不重复抓
三个实战 AI Agent Skills：数据防误读 / 方法论转规则 / 评论洞察流水线 | 3 battle-tested agent skills (data guard, methodology-to-rules, comment insight)
🔍 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
将 Instagram 公开帖评论逐条分类为情绪与广告语义，并导出 Excel 的本地 Codex Skill
🧑💻AI 기반 유튜브 댓글 분석 및 사용자 반응 인사이트 도출 시스템 - 크리에이터 및 MCN 대상 플랫폼
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.
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