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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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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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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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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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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. Topic analysis reveals topics that are most talked about. Learn More.

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Contact Center Customer Experience Best Practices

Callminer

You’ll be in a better position to gauge your success in helping customers help themselves with self-service analytics. Machine learning and artificial intelligence (AI) are two technologies that have proven to be much more than passing trends for contact centers.