Remove Social Media Remove Structured Data Remove Unstructured Data
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Text Analytics vs Sentiment Analysis: Key Differences & Applications

SurveySensum

Both Work With Unstructured Data : Both text and sentiment analysis deals with unstructured customer data and feedback, such as texts, emails, surveys, social media conversations, online reviews, etc. Both techniques transform raw text into structured data that can be analyzed for patterns and trends.

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What is customer experience optimization? (+3 actionable tips)

Zendesk

Evaluate both structured and unstructured data to develop a comprehensive understanding of your customers and their interactions with your brand. Structured data is quantitative information such as names, geolocations, and credit card transactions.

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How Artificial Intelligence and Predictive Analytics Can Help You Reduce Customer Churn

CSAT.AI

Opinions shared on social media and review sites might be in the thousands daily. Many companies use social media monitoring tools to find and review one-by-one brand mentions, but what those tools don’t tell you is how do consumers feel about your brand.

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How to Create a Voice of Customer Template for Your Business

Lumoa

With an omnichannel approach, you’ll gather feedback from the following: Online surveys In-App surveys/rating request Chatbots Customer interviews Your Net Promoter Score Online product reviews Social Media mentions and DMs You’ll gain deeper insights into a customer’s behavior and preferences by collecting their direct feedback.

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11 best Voice of the Customer tools to listen to your customers effectively

SurveySensum

A VOC tool is software that allows you to collect feedback and generate in-depth analysis reports from unstructured data. The ultimate aim of using it is to derive insights, make data-driven business decisions, and create exceptional customer experiences. . Verint ForeSEE. Nice SATMETRIX. Conclusion. What are VoC tools?

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Text Analytics for Health: AI-Driven Healthcare Insights

SurveySensum

It uses AI capabilities like NLP and machine learning to analyze, categorize, and interpret vast amounts of text-based healthcare data. Online Reviews and Social Media Mentions: Public perceptions from platforms like Google Reviews, Healthgrades, and social media discussions. Why is it Important?