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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. This made them less user-friendly for broader CX or market research teams. Another challenge was accessibility.

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

eglobalis

Introduction In todays digital age, the relationship between technology and customer experience (CX) has become almost inseparable. For instance, Oracle uses its Oracle CX Unity platform to unify customer data across touchpoints , enabling businesses to create personalized experiences at scale.

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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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Top 5 Text Analytics Tools: Features, Benefits, and Use Cases

SurveySensum

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. But, How Do Text Analytics Tools Work?

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Lesson #6 Revisited: NPS Isn’t Enough—AI Helps Identify the Actions That Improve CX

PeopleMetrics

And while CX professionals and market researchers have always worked hard to connect metrics to actions, AI now makes that process faster, smarter, and more focused. Identifying the Root Cause Behind Metrics One of the biggest challenges in CX is understanding why a score is low. But knowing the score is just the starting point.

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Text Analytics vs Sentiment Analysis: Key Differences & Applications

SurveySensum

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. Lets discuss the key differences and applications of sentiment analysis vs text analytics.

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Everything You Need to Know about Text Analytics

Lumoa

This situation is where automated text analytics is brought in: it can help in sorting out the key topics talked about and reveal the general sentiment per topic. Text analytics helps in understanding the feedback. Careful and well implemented text analytics can easily reveal dozens of improvement ideas.