To use this API, users must indicate a text and extract the emotions from it. You can also obtain the length of the text.

Emotion Decoder API is a powerful tool that analyzes textual content to decipher and categorize the emotional nuances expressed in the text.

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The Emotion Decoder API returns a JSON object containing emotional scores for various sentiments, such as sadness, joy, and anger, along with the length of the input text and processing time.

The key fields in the response include "emotion" (which contains scores for different emotions), "text_length" (the length of the input text), and "processing_time" (the time taken to analyze the text).

The response data is structured as a JSON object. The "emotion" field is a nested object with emotion categories as keys and their corresponding scores as values, while "text_length" and "processing_time" are simple key-value pairs.

The primary parameter for the Emotion Decoder API is "text," which should contain the textual content you want to analyze for emotional insights.

Users can customize their requests by providing different text inputs to the "text" parameter, allowing for analysis of various content types, such as customer feedback or social media posts.

Typical use cases include analyzing customer feedback for sentiment, monitoring social media for brand perception, and tailoring marketing campaigns based on emotional insights.

Data accuracy is maintained through advanced natural language processing algorithms that analyze linguistic nuances, ensuring reliable emotion detection across diverse text inputs.

If the input text is empty or contains insufficient data, the API may return default values or null scores. Users should implement checks to handle such cases gracefully in their applications.

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