Remove AI Remove Machine Learning Remove Text Analytics
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Lesson #4 Revisited: Text Analytics from Machine Learning to LLMs

PeopleMetrics

When I wrote Listen or Die , text analytics was already emerging as the backbone of Voice of the Customer (VoC) programs. Even in 2017, machine learning (a form of AI) was recognized as essential to making sense of unstructured customer feedbackthose open-ended comments that tell you the "why" behind your scores.

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My Understanding of AI in CX so Far. Things Could Change!

CX Accelerator

Do terms like NLP and Machine Learning mean anything to you? Machine Learning The second important concept in this mix is Machine Learning. This is the process of training or conditioning machines to respond accurately. Here’s an example from the text analytics world.

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Current Status of Speech (and Text) Analytics

DMG Consulting

Current Status of Speech (and Text) Analytics. Interaction analytics removes the mystery from customer conversations. Analytics-enabled QM has been talked about for at least 12 years and has been available to some degree for 10 of them. Transformational Benefits of IA.

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Text Analytics in Customer Feedback: The CXO’s Secret Weapon

Lumoa

That’s where text analytics in customer feedback proves to be one of the most valuable tools for any business. And if you want to become a real change-maker in your organization, you need to learn how to extract insights from customer feedback. However, first, you have to know where to look!

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Contact Center Customer Experience Best Practices

Callminer

You’ll be in a better position to gauge your success in helping customers help themselves with self-service analytics. Machine learning and artificial intelligence (AI) are two technologies that have proven to be much more than passing trends for contact centers.

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Machine Learning Development: A Comprehensive Review of Booktest and Testing Tools

Lumoa

We’re tackling a complex yet crucial topic in machine learning and AI development. It’s an innovative approach that’s changing the game in data science and AI development. While the raw AI topic model itself looks superficially good, it does contain its flaws evident on deeper examination.

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Text Analytics vs Sentiment Analysis: Key Differences & Applications

SurveySensum

When the world is rapidly turning towards AI, businesses are relying on advanced techniques to extract valuable insights customer reviews, social handles, emails, chats, surveys, and whatnot. Amongst many in the market, two techniques stand out Text analysis and Sentiment Analysis. First, What is Text Analytics?

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