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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 312
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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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Lesson #3 Revisited: AI and the Quest for a Single Source of Truth in CX Feedback

PeopleMetrics

Sentiment Analysis (Happening) AI-powered sentiment analysis helps companies gauge customer emotions through unstructured data (open ended comments) across feedback channels. These programs flag issues from unstructured customer feedback and summarize key themes and sentiment in real-time.

AI 71
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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.

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New Frontiers in Data Driven Marketing

Customer Experience Matrix

Of course, analysts have always spent a lot of time on data prep and veterans will scoff at the implication that most data warehouses are pristine. But the ease of adding new feeds to big data stores, especially of unstructured data, means that users now face a “do it yourself data quality” challenge that''s much greater than before.