Machine Learning Text Analytics Unstructured Data 
eglobalis
MARCH 30, 2025
Using natural language processing (NLP) and machine learning, companies can interpret the tone and emotion behind customer interactions on a massive scale. Beyond call centers , text analytics is helping firms decode sentiment across channels. Instead of explicitly asking How do you feel?,
SurveySensum
FEBRUARY 17, 2025
Text Analytics Tools. What Are Text Analytics Tools? In simple terms, text analytics tools leverage machine learning, NLP, and other AI capabilities to break down unstructured data from customer feedback, online reviews, customer support chat, etc. So whats the solution here?
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SurveySensum
MARCH 3, 2025
Social Media Text Analytics. that can easily be AI-Powered Text Analytics Software. What is Social Media Text Analytics? Social media text analytics is the process of analyzing text-based data from social media platforms using technologies like NLP, machine learning, and AI to extract meaningful insights.
SurveySensum
FEBRUARY 24, 2025
While both deal with analyzing text, they serve different purposes. First, What is Text Analytics? Text analysis , also known as text mining, is the process of extracting useful information from unstructured text data. But whats the difference between the two? Lets discuss them in detail.
SurveySensum
OCTOBER 29, 2024
Instead of relying on the traditional method of manually keeping track of customer interactions, feedback, and agent performance, contact center analytics centers around improving and optimizing customer service processes with the help of advanced analytics like AI, machine learning, etc. Let’s understand each of them.
VOZIQ
APRIL 21, 2022
While structured customer data can tell you how many customers may cancel, unstructured data can reveal your customers’ wants, needs, concerns, expectations, and reasons for potentially canceling. Here are six ways unstructured data strengthen customer retention strategies: 1. So, delay no more!
SurveySensum
JANUARY 20, 2025
Sentiment analysis is the process of analyzing open-ended feedback using AI technologies like natural language processing, machine learning, and text analytics. It is part of a great umbrella of text mining called text analysis. There are specific Machine Learning algorithms that are used for this purpose.
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