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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.

AI 361
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Sentiment Analysis: Guide to Boost CX & Drive Business Insights

SurveySensum

With the right tools and techniques, analyzing your survey data can reveal not just what your customers are saying, but how they truly feel about your products, services, and brand as a whole. Thats where sentiment analysis comes in – turning raw feedback into actionable insights. What is Sentiment Analysis?

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Text Analytics vs Sentiment Analysis: Key Differences & Applications

SurveySensum

Amongst many in the market, two techniques stand out Text analysis and Sentiment Analysis. What is Sentiment Analysis? Sentiment analysis , also called opinion mining, is a specialized form of text analysis that focuses on detecting the emotional tone behind a piece of text. What They Analyze?

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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. This is coming true as AI-driven sentiment analysis and natural language processing (NLP) tools mature.

B2B 301
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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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Top 5 Text Analytics Tools: Features, Benefits, and Use Cases

SurveySensum

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. This helps extract meaningful insights from the feedback by identifying recurring patterns, themes, and sentiments.

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Unstructured Data: Mining the Gold

InteractionMetrics

Unstructured data presents a goldmine of information, but mining that gold is no easy task—it requires coding with detailed text analysis. To be clear, unstructured data includes customer survey text comments, customer service calls, emails, chats, reviews, and other narrative sources of information.