Gartner Research

Four Data Preparation Challenges for Text Analytics

Published: 06 January 2015

ID: G00271311

Analyst(s): Alan D. Duncan

Summary

If they are to be successful in deriving business value from text analytics, analytics leaders must prepare text data in such a way as to draw out the inherent business context of the data prior to analytics usage.

Table Of Contents
  • Key Challenges

Introduction

Analysis

  • Establish a Contextualizing Data Structure
  • Achieve Semantic Disambiguation and Decoding of Textual Content
  • Ensure Semantic Reconciliation and Consistent Interpretation
  • Promote Data Quality and Veracity
  • Conclusion: Deriving Analytics Value

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