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Score the sentiment of three sample texts

Scores three sample texts and returns positive, negative and neutral probabilities for each. The models run inside the actor; no outside service is called. Replace the texts with your own, or point the actor at a dataset in your account.

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Sentiment Analyzer: positive, negative and neutral scores
Sentiment Analyzer: positive, negative and neutral scoresexamsens.ai/sentiment-analyzer
#
Scored
Sentiment
Compound
+3 fields
Text
Number
Boolean
List
Object

Input

Texts:I love this phone, the battery lasts all day.+2
Text field in the dataset items:text

Output fields

#
Scored
Sentiment
Compound
Scores
Text
Error

How it works

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The Sentiment Analyzer: positive, negative and neutral scores Actor is ready to run with the inputs already set for "Score the sentiment of three sample texts". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Score the sentiment of three sample texts" task

The Sentiment Analyzer: positive, negative and neutral scores Actor will start running based on the input automatically. You can also change all the input fields, like texts and text field in the dataset items, to match your specific use case.

Receive the "Score the sentiment of three sample texts" 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 #, scored, sentiment, 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 the sentiment of three sample texts" task via API.

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