Code is here: https://github.com/espin086/api-text-sentiment

Use Cases of Text Sentiment

Understanding the emotions in text is useful in many business contexts such as:

— Sentiment analysis of customer reviews

— Evaluating the emotional tone of an employee

— Deciding which advertisement to show a customer

— Automated customer service

— Identifying the topics that are causing the most negative sentiment on social media

If you want to use sentiment analysis in your applications, you may need to hire someone who can train and deploy a machine learning model. However, if you don’t have a data scientist on your team, there are many services that provide sentiment analysis as an API.

Accessing Text Sentiment API

The Text Sentiment API on RapidAPI is one of the fastest and most robust sentiment analysis APIs. I will walk you through the steps of connecting to this API to leverage sentiment analysis in your applications