Remove Machine Learning 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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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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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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Track Performance and Boost Operational Efficiency With Contact Center Analytics

SurveySensum

Instead of relying on the traditional method of manually keeping track of customer interactions, feedback, and agent performance, contact center analytics centers around improving and optimizing customer service processes with the help of advanced analytics like AI, machine learning, etc. Let’s understand each of them.

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Unlock Customer Insights with Social Media Text Analytics

SurveySensum

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. This process helps you understand brand mentions, customer sentiments, emerging trends, and competitor strategies. Lets find out!

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15 Best SurveyMonkey Alternatives & Competitors [2025]

SurveySensum

It offers a wide range of advanced capabilities like AI-enabled text and sentiment analysis tools to identify top customer sentiments and complaints, advanced reporting to better understand your data, and analytical dashboards for better visualization. And not just that. How to analyze your open-ended feedback?