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Build a Public Discussion Corpus From Posts

Build a source-linked corpus of public discussion for a topic and review the posts with sentiment and language labels.

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Social Media Sentiment Analyzer
Social Media Sentiment Analyzerkhadinakbar/social-media-sentiment-analyzer
Query
Health (0-100)
Headline
Summary
+7 fields
Text
Number
Boolean
List
Object

Input

Search query, hashtag, or brand(required):electric vehicles
Platforms to analyze:reddit+1
Max posts to analyze (total):25
Time window:30d
Sentiment engine:lexicon

Output fields

Query
Health (0-100)
Headline
Summary
Sentiment Split
Emotions
Top Praise
Top Complaints
Crisis Signals
Recommendations
Per Platform

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 "Build a Public Discussion Corpus From Posts". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Build a Public Discussion Corpus From Posts" 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 "Build a Public Discussion Corpus From Posts" 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 query, health (0-100), headline, 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 "Build a Public Discussion Corpus From Posts" task via API.

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Integrate "Build a Public Discussion Corpus From Posts" into your workflow

Connect "Build a Public Discussion Corpus From Posts" with 100+ integrations, or run it via API or MCP.

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