llm-public-opinion-analytics-assistant

Monitor and analyze public opinion across platforms with sentiment analysis and trend detection.

5|1|Updated May 16, 2026
One-click install
npx skills add https://github.com/Aradotso/data-skills --skill llm-public-opinion-analytics-assistant
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: llm-public-opinion-analytics-assistant
Source: https://github.com/Aradotso/data-skills/tree/main/skills/llm-public-opinion-analytics-assistant
Command: npx skills add https://github.com/Aradotso/data-skills --skill llm-public-opinion-analytics-assistant

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires selenium, pandas, numpy, mysql-connector-python, openai, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

The llm-public-opinion-analytics-assistant Skill addresses the challenges of analyzing public opinion across multiple platforms in real-time, providing valuable insights for businesses and researchers.

Core Features & Use Cases

  • Multi-Platform Data Collection: Crawl trending lists from various platforms like Weibo, Douyin, and Zhihu.
  • LLM-Powered Analysis: Perform clustering, sentiment analysis, and trend detection on the collected data.
  • Conversational Interface: Use natural language queries to explore data and retrieve specific information.
  • Video Content Analysis: Extract information from video-based news content.
  • Multi-Channel Notifications: Receive updates through email, WeChat, Enterprise WeChat, and Telegram.

Quick Start

Set up public opinion monitoring for a specific topic by using the skill with the command: monitor public-opinion <topic>.

Frequently Asked Questions about llm-public-opinion-analytics-assistant

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I monitor public opinion across multiple platforms in real-time?

To monitor real-time public opinion, you can crawl trending lists from platforms like Weibo, Douyin, and Zhihu, then use a large language model to perform sentiment analysis and trend detection on the collected data.

Can I perform sentiment analysis and topic clustering on social media data using an LLM?

Yes, you can use a large language model to perform sentiment analysis and topic clustering on social media data, enabling you to identify trending topics and detect shifts in public sentiment.

Does this public opinion analysis tool support crawling trending lists from Weibo and Douyin?

Yes, the public opinion analysis tool supports crawling trending lists from multiple platforms including Weibo, Douyin, and Zhihu to gather data for real-time analysis and trend detection.

How do I set up real-time monitoring for a specific public opinion topic?

You can set up real-time public opinion monitoring for a specific topic by using the command 'monitor public-opinion <topic>', which initiates the crawling and LLM-powered analysis workflow.

Can I extract information from video-based news content for sentiment analysis?

Yes, the public opinion analytics assistant supports video content analysis, allowing you to extract information from video-based news content for comprehensive sentiment analysis and trend detection.

Do I need Selenium and MySQL to run multi-platform public opinion analytics?

Yes, Selenium is required for web crawling across platforms, and MySQL is used to store the collected data for the LLM-powered public opinion analytics, sentiment analysis, and trend detection processes.