analyzing-twitter-sentiment-for-topic
by community
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Description
Analyzes public sentiment on Twitter/X for any topic, brand, or event using apidojo's Tweet scrapers on Apify. Triggers when the user asks to: analyze Twitter sentiment about a topic, measure public opinion on Twitter, see if sentiment is positive or negative about a brand or issue on X, analyze the emotional tone of tweets about an event, research how Twitter reacts to a news story, measure brand or product sentiment from tweets, or compare sentiment between two competing topics or brands on Twitter. Returns sentiment classification, top positive and negative tweets, volume over time, and key themes. Ideal for PR teams, market researchers, political analysts, and social listening platforms.
Install analyzing-twitter-sentiment-for-topic
Run this in your OpenClaw agent to add analyzing-twitter-sentiment-for-topic from the ClawHub registry.
openclaw skills install analyzing-twitter-sentiment-for-topicRequires ClawHub registry access. Review the security analysis below before installing.
Security Analysis
Open Source
Code is publicly available for audit.
Community Verified
Reviewed by the ClawHub community.
Community Reviews
Real user ratings only — separate from the editorial assessment and ClawHub signal.
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Frequently asked questions
Is analyzing-twitter-sentiment-for-topic safe to install?
analyzing-twitter-sentiment-for-topic has a SkillsReview security score of 50/100. It is open source and community-verified on ClawHub. Check the full Security Analysis on this page before installing.
How much does analyzing-twitter-sentiment-for-topic cost?
analyzing-twitter-sentiment-for-topic is free to install for OpenClaw via ClawHub.
What are the best alternatives to analyzing-twitter-sentiment-for-topic?
You can compare analyzing-twitter-sentiment-for-topic side by side with similar OpenClaw skills on the SkillsReview comparison page to find the best fit for your workflow.
How do I install analyzing-twitter-sentiment-for-topic?
Install analyzing-twitter-sentiment-for-topic from ClawHub at clawhub.ai/skills/analyzing-twitter-sentiment-for-topic, or use the install action on this page to copy the command for your OpenClaw agent.
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