Analyze Twitter Text Sentiment
Maxime Dupré
Submit Twitter post text. Each line gets a positive, negative, or neutral label, a confidence value, and a sentiment summary.
Input
Output fields
Sign up on Apify or log in
The Text Sentiment Analysis Actor is ready to run with the inputs already set for "Analyze Twitter Text Sentiment". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Analyze Twitter Text Sentiment" task
The Text Sentiment Analysis Actor will start running based on the input automatically. You can also change all the input fields, like text, to match your specific use case.
Receive the "Analyze Twitter Text 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 line count, sentiment distribution, and line results.
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 "Analyze Twitter Text Sentiment" task via API.
