Emotional State API

Emotional State API

The Emotional State API accurately evaluates sentiment on various textual data and complementary functions for deeper insight.

About the API:  

Emotional State API designed to analyze the sentiment expressed in textual content. Leveraging advanced natural language processing (NLP) techniques, this API discerns the emotional tone of text, providing valuable information about the attitudes, opinions and emotions conveyed by the author. By accurately detecting sentiment, it enables businesses and developers to gain deeper insights from textual data, improving decision-making processes and enabling more personalized user experiences.

In essence, the Emotional State API employs sophisticated algorithms to classify text into different sentiment categories, typically positive and negative. This classification is based on the semantic meaning and context of the words and phrases used, rather than simply based on matching individual keywords. Thanks to this nuanced approach, the API is able to capture the subtleties of human language, accurately gauging sentiment even in complex or nuanced expressions.

Overall, the Emotional State API analyzes sentiment in textual data. With its ability to accurately classify sentiment across different languages and data sources, along with its complementary capabilities for entity recognition, aspect-based analysis and sentiment trend tracking, the API enables users to gain valuable insights from textual content, driving more informed decision making and enabling a better understanding of customer attitudes and preferences.


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

It will receive parameters and provide you with a JSON.


What are the most common uses cases of this API?

  1. Social media monitoring: Sentiment analysis on social media posts to understand public opinion and brand perception.

    Customer feedback analysis: Assessing sentiment in customer feedback to identify areas for improvement or measure satisfaction.

    Market research: Analyze sentiment in market reports and surveys to measure consumer sentiment towards products or services.

    Brand tracking: Tracking sentiment towards a brand or company through online platforms to manage reputation.

    Product review analysis: Assessing sentiment in product reviews to understand customer preferences and inform product development.


Are there any limitations to your plans?

Besides the number of API calls available for the plan, there are no other limitations.

API Documentation


To use this endpoint, you must specify a text to analyze the sentiment of the text.

POST https://zylalabs.com/api/3497/emotional+state+api/3831/sentiment+detection

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



Sentiment detection - CODE SNIPPETS

curl --location --request POST 'https://zylalabs.com/api/3497/emotional+state+api/3831/sentiment+detection' --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 Emotional State 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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To utilize this API effectively, users are required to input a text for the sentiment analysis process to generate insightful results.

The Emotional State API is designed to analyze and interpret the emotional content expressed in textual data.

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