polibert-sentimentPolitical sentiment analysis using PoliBERTweet - a RoBERTa model pre-trained on 83M political tweets. Analyzes support, opposition, and stance toward politi...
Install via ClawdBot CLI:
clawdbot install erongcao/polibert-sentimentGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://github.com/GU-DataLab/PoliBERTweetAudited Apr 18, 2026 · audit v1.0
Generated Oct 7, 2026
Political campaigns can monitor real-time voter sentiment toward their candidate and opponents across Reddit communities. By fetching discussions from r/politics and other political subreddits, they can identify shifts in support and adjust messaging accordingly.
Prediction market traders and analysts can combine PoliBERT sentiment scores with market odds to make more informed bets. The skill's JSON output integrates with frameworks like Polymarket to synthesize social sentiment with market data.
News organizations and media analysts can track how political narratives evolve on social media. By analyzing sentiment over time, they can identify which issues are gaining traction and how public opinion is shifting.
Researchers studying political polarization can use PoliBERT to quantify sentiment differences across communities like r/Conservative and r/democrats. The tool provides structured data for longitudinal studies of political discourse.
Advocacy groups and lobbyists can track sentiment toward specific policies or politicians to gauge public support. This helps in planning campaigns, drafting press releases, and responding to emerging controversies.
Offer a paid API that provides political sentiment analysis on demand, with tiered pricing based on volume and historical data access. Target media, campaigns, and hedge funds.
Build a SaaS dashboard that aggregates sentiment from Reddit and other sources, offering trend alerts and competitive benchmarking. Include integration with prediction markets for actionable insights.
Provide bespoke sentiment analysis reports and strategic consulting for political campaigns, advocacy groups, and corporations. Leverage the skill to deliver deep-dive analyses on specific candidates or issues.
💬 Integration Tip
Combine PoliBERT sentiment with market data from Polymarket and historical base rates from prediction frameworks to create a multi-signal forecasting model. Use JSON output for automated pipelines and ensure Reddit rate limits are respected by batching queries.
Scored Oct 7, 2026
Data analysis and visualization. Query databases, generate reports, automate spreadsheets, and turn raw data into clear, actionable insights. Use when (1) yo...
Data visualization, report generation, SQL queries, and spreadsheet automation. Transform your AI agent into a data-savvy analyst that turns raw data into actionable insights.
Automation skill for DELLIGHT Strategic Intelligence.
Automation skill for DELLIGHT Intelligence Operations.
通过调用 Prana 平台上的远程 agent 完成以下处理:使用7步分析法对中国A股进行全方位财务分析,自动生成包含ROE分解、盈利模式识别、行业对比和投资洞察的HTML报告。支持上海和深圳交易所所有股票。 IMPORTANT: This skill has a mandatory step-by-step p...
基于AI的中文数据分析助手,支持智能图表生成、预测分析、异常检测及一键生成多格式专业报告。