sansan0/bilibili-comment-analyzer
🎯 哔哩哔哩(bilibili)评论区数据可视化分析软件-- up主可用于指导自己的题材选择,明确自己的粉丝群体
294 repositories
🎯 哔哩哔哩(bilibili)评论区数据可视化分析软件-- up主可用于指导自己的题材选择,明确自己的粉丝群体
Every analytics tool wants a subscription. And your data. I built Twiligent instead. YouTube stats. Instagram stats. One dashboard. Runs locally on your machine.
题火 Teeho — 小红书笔记诊断工具,一句话启动分析|Xiaohongshu / RedNote content audit, note analysis and insights|支持 Agent Skill
This repository contains independent project on Social Media Analytics to identify key predictors of social influence.
Open-source MCP + SaaS console for social-media topic-aggregation reports across Reddit / Instagram / Facebook / X / App Store / Google Play. No LLM required, localhost-only by default. 开源社交媒体情报 MCP 服务 + SaaS 控制台,主题聚合报告覆盖 Reddit / Instagram / Facebook / X / App Store / Google Play,无需 LLM,默认仅本机可访问。
Instagram reach analysis with Python and Jupyter: explore impressions, engagement, hashtags, traffic sources, and content-performance factors.
Codex Skill:基于证据拆解自媒体账号的定位、内容、增长与商业化潜力
Twitter/X comment and reply scraper with sentiment analysis
A social media analytical tool that provides the useful insights and meaningful stats that helps in the enhancing your social media presence.
Open-source, self-hostable social media management & marketing platform (Django + React) — scheduler, content calendar, analytics, unified inbox, click-to-WhatsApp bot builder, AI assistant. MIT.
Taking a look at data of 1.6 million twitter users and drawing useful insights while exploring interesting patterns visualized with concise plots. The techniques used include text mining, sentimental analysis, probability, time series analysis and Hierarchical clustering on text/words using R.
Production-ready Pinterest scraper built with Python Scrapy. Extract pins, boards, and search data with ScrapeOps proxy integration. Features 3 specialized spiders, JavaScript rendering, and CSV export. Perfect for content marketing, market research, and social media analytics.
MCP server for DataLikers — 29 Instagram & TikTok data tools. Thin stdio proxy. Use from Claude Code, Claude Desktop, Cursor, OpenAI Codex, Zed, Windsurf.
Private YouTube analytics for Windows. Official signed downloads and documentation; Instagram and TikTok require your own developer apps.
Python Twitter scraper using Requests 🐍. Extract tweets by keywords, profiles, and engagement metrics. Filter by likes, comments, and views. Export to JSON 📦. No API limits.
A toy system for generating event timelines from social media data, specifically focusing on the Olympic Game medalist events.
This project involves helping a social media company better understand its user base & behavior on its platform.
Comprehensive social media marketing patterns covering modern social media strategies, content creation, and engagement optimization methodologies. Build authentic communities and drive social engagement.
Retrieve TikTok user follower details efficiently
A comprehensive Power BI dashboard analyzing social media advertising campaigns to track KPIs like CTR, ROI, and Revenue across different platforms and demographics.
Xiaohongshu, Douyin, Bilibili and Kuaishou analytics — one unified schema, MediaCrawler-compatible. Engagement quant, sentiment and virality forecast. Ranks by save-rate, not likes.
Social Media Analytics Tool provides insights into social media engagement metrics like likes, shares, and comments. Built with Streamlit, Plotly, and LangFlow, it offers an interactive dashboard powered by AI for post-performance analysis.
Semester 8
自媒体多平台数据分析 → PPVI 浅色 HTML 报告页 · Claude Code skill
Social Media Analytics by Python on Biden and Trump's Twitter
Gives your customer's tweets, the sentiment of those tweets, and an interface for you to reply to them. Also, some analytics about your customers
Xiaohongshu user posts scraper tool
Open-source research hub featuring data-backed social timing analytics (BST), a 5-phase SWE & cybersecurity career roadmap (2026–2030), and the PRISM study system for CSE students. Covers web security, bug bounty, AI engineering, system design, and daily focus protocols.
This project aims to perform a social network and content analysis relatively to the r/marvelstudios subreddit from the popular online discussion forum Reddit. Report and project presentation are in english.
machine learning project designed to analyze Instagram comments for sentiment detection, question identification, and topic modeling. Utilizing algorithms such as LDA, LSA, NMF, and BERT, CommentAnalyzer provides valuable insights into user interactions, helping brands and researchers understand audience sentiments and trends.