Sentiment Analysis Example
Maxime Dupré
Submit a short text sample. Each line gets a positive, negative, or neutral label and confidence value; the dataset shows counts and shares.
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 "Sentiment Analysis Example". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Sentiment Analysis Example" 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 "Sentiment Analysis Example" 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 "Sentiment Analysis Example" task via API.
