Remove Machine Learning Remove Text Analytics Remove VOC
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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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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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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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Lesson #10: B2B VoC and B2C VoC Are Completely Different

PeopleMetrics

The answer to this question is key to creating a world-class VoC program. While VoC looks different in B2B than in B2C, the idea of using it to retain customers and reduce churn is still central to both. VoC In Both Worlds. Each relationship and each interaction provide touchpoints for VoC feedback in B2B. VOLUME: Small.

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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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Lesson #4: Text Analytics Is More Than A VoC Feature; It's An Absolute Must-Have

PeopleMetrics

Enter text analytics. Almost any VoC software platform can easily analyze these data and create graphs to aggregate and compare the responses: Maybe 30% of respondents were very satisfied, 35% very dissatisfied, and so forth. Machines (Text Analytics). Machines, on the other hand, can scale infinitely.