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

Lumoa

AI tools are changing the way we analyze customer feedback. This is where stepping up to a text analysis software or a comprehensive customer experience platform becomes a big move for your business. Think about all the customer feedback we see – tweets, reviews, comments, surveys. The market reacts, and reviews pour in.

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How to Analyze Survey Results: A Guide to Mastering Customer Feedback Analysis

Lumoa

Unlocking the power of VoC feedback is vital to the success of any business. This article offers a comprehensive guide on how to analyze survey results efficiently, covering everything from the basics to advanced techniques, and provides actionable solutions to common challenges in customer feedback analysis faced by businesses today.

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Sentiment Analysis on Customer Feedback: A Guide to Enhance Customer Experience

Lumoa

By leveraging sentiment analysis on customer feedback, businesses can understand and dig deep into the emotions of their customers, allowing them to identify and address pressing concerns, and fine-tune their products and services. You may be wondering how sentiment analysis can truly make a difference in your organization.

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5 Creative Ways to Use AI for Sentiment Analysis

Lumoa

Have you ever thought about how some businesses manage to analyze thousands of customer reviews and feedback quickly? The secret lies in the capabilities of AI and its proficiency in conducting sentiment analysis. Customer feedback is a precious resource for understanding what’s effective and what needs improvement.

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Executive Report: The Customer Data Too Often Overlooked by the C-Suite

A recent Calabrio research study of more than 1,000 C-Suite executives has revealed leaders are missing a key data stream – voice of the customer data. Download the report to learn how executives can find and use VoC data to make more informed business decisions.

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What is Voice of the Customer? [+ how to get data analysis]?

Lumoa

Analyzing the feedback that you do get can be overwhelming, especially when it’s coming from so many different sources. The term “Voice” is used in a metaphorical sense, as customers may not express their thoughts and feelings verbally or through traditional feedback channels. But listening isn’t always that easy.

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Guest Post: Exploring Natural Language Processing to Categorize Customer Feedback

ShepHyken

This week, we feature an article by Sheila Bugal, Head of Marketing at Caplena , a market-leading text analysis tool. Businesses who want to use NLP to process customer feedback will find that this type of A.I. When it comes to processing feedback, categorization is king. has limitations. . Cannot Design MECE Categories.

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