Fast Sentiment Analyzer API

Fast Sentiment Analyzer API

The sentiment analyzer breaks the text down by positive, negative, and natural characteristics.

API description

About the API:

The Fast Sentiment Analyzer API is an API that allows developers to analyze the sentiment of text data. Sentiment analysis is the process of identifying the emotional tone of a piece of text (such as whether it is positive, negative, or neutral). The API uses machine learning algorithms to analyze the content of the text and determine its sentiment.


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

This API will receive a text string and it will deliver the sentiment percentage that is calculated from that string. 


What are the most common uses cases of this API?

  1. Customer feedback and market research: The API can be used to build tools that analyze the sentiment of customer feedback or market research data. This could include features such as tracking the overall sentiment of customer reviews over time, or identifying trends in the sentiment of social media posts.

  2. Analyzing social media posts and reviews: The API can be used to analyze the sentiment of social media posts or reviews. This could include tasks such as identifying the overall sentiment of a brand or product, or tracking the sentiment of posts or reviews over time.

  3. Integrating sentiment data into other applications: The API can be used to integrate sentiment data into websites or other applications. This could include features such as displaying the sentiment of customer reviews or social media posts, or providing alerts when the sentiment of a particular piece of text meets certain criteria.

  4. Building sentiment analysis tools: The API can be used to build tools that perform sentiment analysis on text data. This could be useful for tasks such as organizing or tagging text data based on its sentiment, or analyzing the sentiment of text data in real-time.


Are there any limitations to your plans?

Besides the number of API calls per month, there are no other limitations. 

API Documentation


Predicts the sentiment of the text broken down by how positive, negative and neutral it is. You also get an aggregated "compound" that combines all three pieces of information.


Predict - Endpoint Features
Object Description
text [Required] Text to predict
Test Endpoint


                                                                                                                                                                                                                            {"neg": 0.0, "neu": 0.667, "pos": 0.333, "compound": 0.6114}


curl --location --request GET ' a wonderful way way to start your day!' --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 Fast Sentiment Analyzer 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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About Developer:

Machine learning engineer providing data-driven insights with unstructured data

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