Beta Sentiment Analyzer

通过本地 Python 命令行读取文本或 CSV，对社交媒体、新闻标题和金融文本做情感分析，输出正面/负面/中性倾向、分数、置信度和关键短语。

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热度 43.62

最近更新 2026-05-11 17:37:38

分类：数据依赖：代码执行 / 读写文件应用场景：市场分析 / 社交媒体 / 财务 / 研究

安装技能

复制下面的话术发给你的 Agent，它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill： npx secure-skills-cli add betasentiment

Metadata

name: sentiment-analyzer
description: Analyzes sentiment from social media, news headlines, and financial text. Outputs positive/negative/neutral scores with confidence levels and key phrase extraction.
metadata: {"openclaw":{"emoji":"💬","requires":{"bins":["python3"]},"always":false}}

Sentiment Analyzer

AI-powered sentiment analysis for financial text, social media, and news.

Usage

python3 analyze.py --text "Bitcoin to the moon! Best investment ever!"
python3 analyze.py --file headlines.csv

Output Example

🔍 SENTIMENT ANALYSIS
━━━━━━━━━━━━━━━━━━━━━
Text: "Bitcoin to the moon!"
Score: 0.82 / 1.0
Verdict: BULLISH 🐂
Confidence: 91%

Key phrases:
- "to the moon" → extremely bullish signal
- "best investment" → high conviction positive