Multi-platform hot search crawler and LLM-powered public opinion analysis system with clustering, sentiment analysis, and multi-channel push notifications
LLM-Based Intelligent Public Opinion Analytics Assistant Skill by ara.so — Data Skills collection. Overview This project is an intelligent public opinion analysis assistant that combines real-time data from 26 trending lists across 15 mainstream platforms with large language model (LLM) analysis capabilities. It provides conversational hot search queries, topic-specific searches, topic clustering analysis, and sentiment analysis through a web interface. The system supports keyboard shortcuts for crawler control, multi-platform data retrieval with direct navigation, and multi-channel hot topic push notifications (email, WeChat, Enterprise WeChat, Telegram). Key Features Multi-Platform Data Collection: Crawls 26 trending lists from 15 platforms LLM-Powered Analysis: Topic clustering, sentiment analysis, and trend detection Conversational Interface: Natural language queries for data exploration Video Content Analysis: Extracts information even from video-based news Multi-Channel Notifications: Email, WeChat Work, Telegram bot push notifications Crawler Control: Quick start/stop via keyboard shortcuts Database Storage: MySQL-based data persistence Installation
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