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Score Telegram posts for sentiment

Ready-to-run example: sentiment label and score, keywords, tickers and a question flag on every post, so thousands of rows sort into piles.

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Telegram Sentiment Analysis - Score Channel Posts at Scale
Telegram Sentiment Analysis - Score Channel Posts at Scalevonsensey/telegram-sentiment-analysis-tool
Type
Channel
Message ID
Permalink
+8 fields
Text
Number
Boolean
List
Object

Input

Telegram channels:@cryptosignals+1
Add analysis fields (charged separately):true
Max messages per channel:100

Output fields

Type
Channel
Message ID
Permalink
Posted at
Text
Views
Author
Reactions
Forwarded from
Media
Hashtags

How it works

Sign up on Apify or log in

The Telegram Sentiment Analysis - Score Channel Posts at Scale Actor is ready to run with the inputs already set for "Score Telegram posts for sentiment". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Score Telegram posts for sentiment" task

The Telegram Sentiment Analysis - Score Channel Posts at Scale Actor will start running based on the input automatically. You can also change all the input fields, like telegram channels, add analysis fields (charged separately), and more, to match your specific use case.

Receive the "Score Telegram posts for sentiment" 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 type, channel, message id, 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 "Score Telegram posts for sentiment" task via API.

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