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Monitor Public Reaction to a News Issue

Track recent public discussion on a news or policy issue and review source-linked posts with sentiment and emotion labels.

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Social Media Sentiment Analyzer
Social Media Sentiment Analyzerkhadinakbar/social-media-sentiment-analyzer
Platform
Author
Title
Post
+7 fields
Text
Number
Boolean
List
Object

Input

Search query, hashtag, or brand(required):net neutrality
Platforms to analyze:reddit+1
Max posts to analyze (total):20
Time window:24h
Sentiment engine:llm
Generate AI brand-health report:true
Per-post detail level:detailed

Output fields

Platform
Author
Title
Post
Sentiment
Score
Conf.
Emotions
Lang
Published
URL

How it works

Sign up on Apify or log in

The Social Media Sentiment Analyzer Actor is ready to run with the inputs already set for "Monitor Public Reaction to a News Issue". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Monitor Public Reaction to a News Issue" task

The Social Media Sentiment Analyzer Actor will start running based on the input automatically. You can also change all the input fields, like search query, hashtag, or brand, platforms to analyze, and more, to match your specific use case.

Receive the "Monitor Public Reaction to a News Issue" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as platform, author, title, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Monitor Public Reaction to a News Issue" task via API.

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Integrate "Monitor Public Reaction to a News Issue" into your workflow

Connect "Monitor Public Reaction to a News Issue" with 100+ integrations, or run it via API or MCP.

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