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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. Here, I’m going to use Lumoa text analytics engine as a real-life example, of using booktest to develop a complex machine learning system and assure its quality. And our goal?

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A to Z Guide to Customer Experience Definitions and Terms (Updated)

Lumoa

The most important AI technologies, that are relevant for analyzing customer feedback, fall in the area of natural language processing (NLP) and machine learning. Both groups of technologies can be utilized to make analytics more actionable. Text analytics helps you to understand the drivers of customer satisfaction.

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How Retently Automated Customer Feedback Analysis Using MonkeyLearn

Retently

Text analytics can be applied to NPS responses to help uncover valuable insights by: Grouping comments into general themes to identify common customer pain points and thus, help you understand how to improve their experience. Here is where automated analysis with machine learning takes the stage.

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Customer Experience Strategy: An A to Z Glossary

Lumoa

Actionability Actionability is the result of analytics leading to concrete decisions and changes and actions within the company. The most important AI technologies relevant for analyzing customer feedback fall in the area of natural language processing (NLP) and machine learning. Example of text analytics with sub-categories.

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Net Promoter Score® 101: The Complete Guide

Lumoa

Understanding why your customers are happy or unhappy is the main reason why you should ask for feedback in the first place. That's where text analytics technologies come into play. Simple sentiment analysis of text analytics can divide a sentiment into three buckets: a sentence can be positive, neutral or negative.

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Speech Analytics and AI Is a Winning Combination

DMG Consulting

Speech analytics is getting a new lease on life courtesy of artificial intelligence (AI), machine learning, and the digital transformation. Vendors in most IT sectors claim to provide AI-enabled solutions, and the speech analytics providers are no exception. The future of this process is analytics-enabled QM (AQM).

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Top Contact Center Industry Trends for 2023

Fonolo

Since you’re here, you can enjoy an appetizer before the main event. Cheaper data processing and storage capabilities are fueling artificial intelligence, natural language processing and machine learning — which means companies can now distill customer understanding drawn from millions of data points. Let’s dig in! .