Text Emotion Recognition API

Text Emotion Recognition API

The Text Emotion Recognition API allows you to accurately identify and interpret the emotions expressed in a given piece of text.

API description

About the API:

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.

What your API receives and what your API provides (input/output)?

It will receive a parameter and provide you with a JSON.

What are the most common uses cases of this API?

  • Social Media Monitoring: Businesses can use the API to monitor social media channels to identify the emotional sentiment toward their brand, products, or services in real time.
  • Customer Service Management: The API can be integrated with customer support chatbots to detect the emotional state of customers, and route them to human agents who are equipped to handle their queries or complaints.
  • Product Development: Companies can use the API to analyze customer feedback on their products and services, and gain insights on how to improve or innovate new features that resonate better with their customers' emotions.
  • Market Research: The API can be used to analyze the emotional response of focus groups during market research activities, providing insights that help companies create products that better meet the emotional needs of their target audience.
  • Reputation Management: The API can help companies track their reputation online by identifying the emotional sentiment of customers, and addressing any negative feedback that may be affecting their brand image.
  • Political Analysis: Political campaigns can use the API to analyze social media conversations around key issues to gain insights into the emotional sentiment of voters.
  • Media and Entertainment: The API can be used to analyze audience reactions to movies, music, and other forms of media, helping production companies and artists better understand their audience's emotional response to their work.
  • Health and Wellness: Healthcare providers can use the API to analyze patient feedback and social media conversations around health and wellness to identify areas that need more attention or intervention.
  • Education: The API can be used to analyze student feedback and identify areas where students may be struggling emotionally, allowing teachers to provide additional support or resources.
  • Psychological Research: The API can be used in psychological research to analyze the emotional sentiment of study participants, providing insights into the effectiveness of different therapeutic interventions or treatments.

Are there any limitations to your plans?

10 Request Per Second On Every Plan.

API Documentation


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:

    "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

POST https://zylalabs.com/api/1948/text+emotion+recognition+api/1686/recognition

Recognition - Endpoint Features
Object Description
Request Body [Required] Json
Test Endpoint


                                                                                                                                                                                                                            {"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": "indispensable tool", "sentiment": "positive", "subjectivity": "very subjective", "sentiment_score": 0.2, "subjectivity_score": 0.855}, {"phrase": "fantastic", "sentiment": "positive", "subjectivity": "very subjective", "sentiment_score": 0.4787, "subjectivity_score": 0.855}, {"phrase": "consistently delivering", "sentiment": "positive", "subjectivity": "objective", "sentiment_score": 0.125, "subjectivity_score": 0.2375}, {"phrase": "reliable", "sentiment": "neutral", "subjectivity": "objective", "sentiment_score": 0.0, "subjectivity_score": 0.0}, {"phrase": "proven", "sentiment": "neutral", "subjectivity": "objective", "sentiment_score": 0.0, "subjectivity_score": 0.0}]}

Recognition - CODE SNIPPETS

curl --location --request POST 'https://zylalabs.com/api/1948/text+emotion+recognition+api/1686/recognition' --header 'Authorization: Bearer YOUR_API_KEY' 


API Access Key & Authentication

After signing up, every developer is assigned a personal API access key, a unique combination of letters and digits provided to access to our API endpoint. To authenticate with the Text Emotion Recognition API REST API, simply include your bearer token in the Authorization header.


Header Description
Authorization [Required] Should be Bearer access_key. See "Your API Access Key" above when you are subscribed.

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