Analyze Every Customer’s State Of Mind

Sentiment Analysis uses a mix of natural language processing, text analytics, and computational linguistics to understand and extract subjective information to recognize the attitude and emotions of different people and give them a better service.

Objective of Sentiment Analysis

The main purpose of sentiment analysis is to comprehend the attitude of people towards a particular product, service, company, campaigns and activities. Whether positive or negative, with the help of sentiment analysis we can analyze the exact reason and respond accordingly or alter our services to render them best service.

 

Using the Right Algorithms for Sentiment Analysis

Using accurate algorithms for sentiment analysis helps analyze the context better. The algorithm API takes a string and returns the rating of sentiments in positive, negative or neutral grade. Such algorithm provides a composite result in the general way and the complete sentiment of the string with detailed analysis report to make it usable for decision making.

 

Why You Need to Implement Sentiment Analysis?

Sentiment analysis has wide-ranging industry applications. After all, technology that can accurately help gauge the perception of existing and prospective customers can offer significant competitive advantages. It helps to identify and analyze the trends within the company texts in emails, surveys, customer service data and reports.

Get Sentiment Analysis with right API and Tools

Cogito helps you develop intelligent Sentiment Analysis algorithms by providing accurate data labeling services through trained professionals. Our analysis system is powered by latest language processing engine.

 

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