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AI and Real-Time Tech vs. Traditional CX Surveys: Who Will Win the Upcoming Battle?

eglobalis

Using natural language processing (NLP) and machine learning, companies can interpret the tone and emotion behind customer interactions on a massive scale. Beyond call centers , text analytics is helping firms decode sentiment across channels. Instead of explicitly asking How do you feel?,

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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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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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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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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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My Understanding of AI in CX so Far. Things Could Change!

CX Accelerator

Do terms like NLP and Machine Learning mean anything to you? Machine Learning The second important concept in this mix is Machine Learning. This is the process of training or conditioning machines to respond accurately. Here’s an example from the text analytics world.