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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. When to use text analytics This situation is where automated text analytics in customer feedback is brought in: it can help in sorting out the key topics talked about and reveal the general sentiment per topic.

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A Guide to Choosing the Right Text Analysis Software for Your Business

Lumoa

And, if you’re nodding along, I’m also betting you’re savvy enough to know that the future of business success is tightly intertwined with embracing Machine Learning (ML) and Artificial Intelligence (AI). That’s where text analysis, or text mining, comes into play.

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What is the Role of AI in Customer Feedback Analysis?

Lumoa

Thankfully, the most relevant AI development technologies evaluating customer feedback rely on sentiment analysis. It is a technique that uses Natural language processing (NLP) and machine learning (ML) to scour emotions, opinions, and perspectives.

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Top 10 Typeform Alternatives in 2022 – A Quick Guide

SurveySensum

The text analytics feature identifies the emotions behind each response and groups them accordingly. It offers extensive integration support and provides real-time analytics. . Comes with built-in sentiment analysis tools. Equipped with advanced tools like AI, ML, etc. Features: . Can make real-time changes.

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B2B: When & Where AI for Customer Experience Fits

InteractionMetrics

It overly inflates expectations and distracts from the precise way ML will improve business operations,” writes Eric Siegel in the Harvard Business Review. Used properly, AI can extract meaning from unstructured text. “…for most [machine learning] projects, the buzzword “AI” goes too far.