Remove ML 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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5 Reasons Why Traditional Retention Efforts Are Inadequate

VOZIQ

Structured Data Over-reliance. Organizations using traditional models rely on structured data – e.g., subscription information, billing details, payment history, and FICO scores, to name a few -. However, structured data is transactional, quantitative, and fails to answer ‘why’ a customer might cancel.

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Why Legacy RPA and OCR Automation Falls Short in an AI-Powered Future with IDP

Lightico

As businesses generate and handle more complex, unstructured data than ever, the cracks in these legacy approaches are beginning to show. Inability to Handle Unstructured Data Perhaps the biggest limitation is that legacy OCR/RPA expect structured, predictable inputs, forms that match templates, screens that stay the same.

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