123321kk

123321kk / opinion-agent-ultimate

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这是一个舆情分析的agent，你可以做任何检测舆情的事情

18
2
89% credibility
Found Mar 21, 2026 at 18 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

Opinion Agent Ultimate is a tool that analyzes public sentiment and risks around a given topic by gathering online evidence, summarizing discussions, and providing actionable insights.

How It Works

1
🔍 Discover the Opinion Checker

You find this helpful tool on GitHub that investigates what people are saying online about any topic or brand issue.

2
🚀 Try a Quick Demo

Jump right in with a pretend example, like checking buzz around a coffee shop scandal, and see sample insights instantly.

3
🧠 Connect Your AI Helper

Link a smart thinking service so the tool can plan smart searches and make sense of the findings.

4
📝 Pick Your Topic

Type in the issue you care about, like 'coffee additives controversy', to start your personal investigation.

5
🔍 Run the Full Check

Press go and watch as it gathers real opinions from searches and pages across the web.

6
📊 Get Your Report

Receive a clear summary with mood breakdowns, key themes, risk levels, and smart suggestions.

🎉 Understand the Buzz

You now have a complete picture of online opinions, risks, and next steps to handle any issue confidently.

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Star Growth

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AI-Generated Review

What is opinion-agent-ultimate?

This Python agent automates public opinion analysis for topics like brand scandals or product controversies. Drop a query via CLI (`python -m app.cli "query" --mock`) or FastAPI endpoint (`POST /analyze`), and it plans keyword expansions, pulls data from searches and crawls, computes sentiment breakdowns, risk scores, and timelines, then outputs Markdown reports plus JSON. Built for Chinese social platforms, it uses OpenAI-compatible LLMs like DeepSeek alongside DDGS/SerpAPI search and Selenium crawling.

Why is it gaining traction?

Unlike basic scrapers, it chains planning, hybrid retrieval (local vectors + online), summarization, and stats-first analysis into one pipeline, with modular skills for crawling and metrics. Mock mode and API make it dead simple to test—like an agent github openai repo tuned for opinion mining, skipping the agent github copilot intellij setup hassle. Devs dig the deterministic fallbacks and risk-focused outputs over raw LLM hallucinations.

Who should use this?

PR managers monitoring Xiaohongshu or Weibo flares, brand safety teams scoring viral risks, or ops leads automating alerts on complaints. Perfect for Python devs in agent github action workflows handling Chinese market sentiment, not general chat agents.

Verdict

Grab it for quick opinion prototypes—CLI demos shine. At 18 stars and 0.9% credibility score, it's raw with README docs only and no tests; mature it with your data for production. (187 words)

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