The Canvs AI Guide to Text Analysis for Insights

The challenge of analyzing open ends at scale

This is often what holds organizations back from fully realizing the insights value hidden in open-ended text.

Open ends require significant time and resources to decipher and categorize, and that process is prone to human bias, if not error.

With new advances in artificial intelligence (AI) and machine learning (ML), researchers have tools to automate open-ended responses analysis, allowing qualitative analysis to be done at nearly quantitative scale.

Download now this guide to learn with case studies and real life examples:

  • The framework for analyzing open-ended text
  • Open ends in research context: Consumer Behaviour, Brand Studies, Customer Satisfaction & Experience and many more
  • Summary of text analytics benefits

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