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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. Fast forward to 2025, and weve entered a new era of text analytics. Summarization at Scale In 2017, text analytics tools often produced raw data like word clouds, sentiment scores, and theme counts.

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What is Text Analytics?

Callminer

Gain an understanding of the various types of text analytics in order to grasp the function of text analysis in a business context.

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What is text analytics and how does it work?

Callminer

Text analytics has become an important technology for businesses across a wide variety of sectors and industries. This blog explores how text analytics works and how it’s currently used.

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24 tips for selecting the best text analytics software

Callminer

Read this blog for expert quotes and tips to help you find the best text analytics software and tools, and maximize their value at your organization.

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Streamline Operational Efficiency With AI-powered Call Center Text Analytics

SurveySensum

Your agents handle thousands of conversations daily, so manually reviewing every call transcript is impossible – but AI-powered Call Center Text Analytics software makes it effortless. What is Call Center Text Analytics? Why is Call Center Text Analytics important? Lets find out!

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Unlock Customer Insights with Social Media Text Analytics

SurveySensum

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.

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AI and Customer Experience: The Smarter, Faster, and More Personal Duo Redefining B2B Success

eglobalis

Similarly, Oracle has been using its Oracle Text Analytics tool since 2015 to analyze customer feedback from surveys, social media, and reviews. Solution: Sentiment analysis tools like Oracle Text Analytics and IBM Watson Natural Language Understanding analyze customer feedback across multiple channels (e.g.,

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