Remove Sentiment Analysis Remove Text Analytics 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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Text Analytics vs Sentiment Analysis: Key Differences & Applications

SurveySensum

Amongst many in the market, two techniques stand out Text analysis and Sentiment Analysis. While both deal with analyzing text, they serve different purposes. First, What is Text Analytics? Text Classification : Categorizing text into predefined labels (e.g., What is Sentiment Analysis?

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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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Sentiment Analysis: Guide to Boost CX & Drive Business Insights

SurveySensum

Thats where sentiment analysis comes in – turning raw feedback into actionable insights. What is Sentiment Analysis? Sentiment analysis is the process of analyzing open-ended feedback using AI technologies like natural language processing, machine learning, and text analytics.

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Unlock Customer Insights with Social Media Text Analytics

SurveySensum

But lets be honest – conversation online is very cluttered and unstructured and making sense of it is a challenge , well only if you are not implementing the right strategy the right way. Social Media Text Analytics. that can easily be AI-Powered Text Analytics Software. What is Social Media Text Analytics?

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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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Focus on What Matters Most with Key Driver Analysis

SurveySensum

Then, analyze customer feedback with text analytics to find recurring themes. So, if multiple customers who experience slow response times also give a low score – thats one connection between the factor and the metric (correlation analysis). Numbers dont tell the whole story – customer sentiment does.