Remove Machine Learning Remove NPS Remove Text Analytics
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AI and Real-Time Tech vs. Traditional CX Surveys: Who Will Win the Upcoming Battle?

eglobalis

For years, metrics such as the limited Net Promoter Score (NPS) and customer satisfaction (CSAT) surveys have been the backbone of CX perceived measurements along some other metrics and data. In sum, while surveys like NPS are easy to administer and benchmark, they often fail to capture the depth, immediacy, and drivers of customer sentiment.

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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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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.

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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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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. Customer satisfaction drives key metrics like your Net Promoter Score (NPS). And if you want to become a real change-maker in your organization, you need to learn how to extract insights from customer feedback.

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Sentiment Analysis: Guide to Boost CX & Drive Business Insights

SurveySensum

Sentiment analysis is the process of analyzing open-ended feedback using AI technologies like natural language processing, machine learning, and text analytics. It is part of a great umbrella of text mining called text analysis. There are specific Machine Learning algorithms that are used for this purpose.

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A to Z Guide to Customer Experience Definitions and Terms (Updated)

Lumoa

The most important AI technologies, that are relevant for analyzing customer feedback, fall in the area of natural language processing (NLP) and machine learning. Both groups of technologies can be utilized to make analytics more actionable. Why is NPS ® going up or down? Why are your customers turning away from you?