Remove Predictive Analytics Remove Sentiment Analysis Remove Unstructured Data
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AI and Real-Time Tech vs. Traditional CX Surveys: Who Will Win the Upcoming Battle?

eglobalis

This article examines in detail how businesses in both B2B and B2C contexts are leveraging AI, sentiment analysis, voice-of-customer (VoC) platforms, predictive analytics, and streaming data to capture customer insights in the moment. AI can infer customer sentiment from what theyre already saying or writing.

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Top 8 Sentiment Analysis Tools to Watch Out for in 2025

SurveySensum

But, this data is messy, subjective, and constantly evolving. Thats where sentiment analysis steps in. But when it comes to choosing the right sentiment analysis tool for your business, the market is flooded with them. So in this blog post, Ill walk you through a few of the best sentiment analysis tools out there.

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From Asking to Knowing: How AI Is Replacing B2B Customer Surveys—Not If, but When

eglobalis

Beyond Surveys: Listening to Unstructured and Silent Feedback Much of the valuable feedback in B2B relationships is never explicitly given via a survey question. Gartner analysts predicted that by 2025, 60% of VoC programs will supplement surveys by analyzing voice and text interactions with customers.

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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. Data Cleaning : It removes irrelevant data (e.g.,

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How Artificial Intelligence and Predictive Analytics Can Help You Reduce Customer Churn

CSAT.AI

Revuze’s software utilizes NLP, a form of artificial intelligence, and computational linguistics to filter for words that reveal customer attitudes and emotion, which are revealed in a sentiment analysis report. The second challenge lies in whether it’s structured or unstructured data.

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Track Performance and Boost Operational Efficiency With Contact Center Analytics

SurveySensum

Different Types of Contact Center Analytics There are different types of analysis that fall under the contact center analytics umbrella that can be applied to the customer center data and insights. Let’s understand each of them. Well, not anymore.

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Unlock Customer Insights with Social Media Text Analytics

SurveySensum

Tracking Customer Sentiments The key to making informed business decisions is to understand how customers feel about your brand, product, or service and social media is a goldmine of customer opinions. Real-Time Sentiment Tracking: Brands can monitor sentiment trends over time and detect sudden shifts in perception.