The Text Emotion Recognition API is a powerful tool that can help you gain valuable insights into the emotions expressed in a given piece of text. This API uses advanced natural language processing (NLP) techniques to analyze text from various sources, including social media, customer support inquiries, and surveys, among others. By interpreting the language used in these texts, the API can identify and classify the emotions expressed by the writer.
One of the primary benefits of the Text Emotion Recognition API is its ability to provide accurate and reliable emotional insights. This API can identify a range of emotions, including happiness, sadness, anger, fear, and more, helping you better understand your audience's emotional state. By analyzing these emotions over time, you can gain valuable insights into changes in sentiment, which can help you adjust your communication strategy accordingly.
Another benefit of the Text Emotion Recognition API is its scalability. This API can analyze large volumes of text quickly and accurately, making it ideal for use in real-time applications. For example, you could use this API to monitor social media feeds, customer reviews, and other sources of feedback in real-time, allowing you to respond promptly to any issues that arise.
In summary, the Text Emotion Recognition API is a powerful tool that can help you gain valuable insights into the emotions expressed in a given piece of text. With its advanced NLP capabilities, this API can help you improve your communication strategy, enhance your brand's perception, and stay ahead of the competition.
It will receive a parameter and provide you with a JSON.
10 Request Per Second On Every Plan.
The Recognition endpoint can accurately identify and interpret emotions expressed in a piece of text. This endpoint leverages advanced natural language processing techniques to analyze the language used in the text and categorize the emotions expressed by the writer.
Request Body Example:
Recognition - Endpoint Features
Object | Description |
---|---|
Request Body |
[Required] Json |
{"input": "This API is fantastic. It has proven to be a reliable and indispensable tool in my work, consistentl...", "sentiment": "positive", "subjectivity": "very subjective", "sentiment_score": 0.4537, "subjectivity_score": 0.6491666666666666, "keywords": [{"phrase": "proven", "sentiment": "neutral", "subjectivity": "objective", "sentiment_score": 0.0, "subjectivity_score": 0.0}, {"phrase": "results", "sentiment": "neutral", "subjectivity": "objective", "sentiment_score": 0.0, "subjectivity_score": 0.0}, {"phrase": "fantastic", "sentiment": "positive", "subjectivity": "very subjective", "sentiment_score": 0.4787, "subjectivity_score": 0.855}, {"phrase": "need", "sentiment": "neutral", "subjectivity": "objective", "sentiment_score": 0.0, "subjectivity_score": 0.0}, {"phrase": "work", "sentiment": "neutral", "subjectivity": "objective", "sentiment_score": 0.0, "subjectivity_score": 0.0}]}
curl --location --request POST 'https://zylalabs.com/api/1948/text+emotion+recognition+api/1686/recognition' --header 'Authorization: Bearer YOUR_API_KEY'
--data-raw '{
"text": "This API is fantastic. It has proven to be a reliable and indispensable tool in my work, consistently delivering the results I need.",
"spell_check": true,
"keywords": true
}'
Header | Description |
---|---|
Authorization
|
[Required] Should be Bearer access_key . See "Your API Access Key" above when you are subscribed. |
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