Difference between revisions of "2017 IntroductiontoAppliedNaturalLan"

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=== Description ===
 
=== Description ===
  
The automated processing of text data has become a mission critical capability in industries as varied as medicine, finance, law, advertising, and engineering. This tutorial will review the best-practices in many of these application areas from the perspective of proven applications, methods, practices, tools and resources. When completed you will understand and be able to prototype components of an end-to-end [[NLP system]] that achieves best-baseline results.
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The automated processing of text data has become a [[mission critical capability]] in industries as varied as medicine, finance, law, advertising, and engineering. This tutorial will review the best-practices in many of these application areas from the perspective of proven applications, methods, practices, tools and resources. When completed you will understand and be able to prototype components of an end-to-end [[NLP system]] that achieves best-baseline results.
  
 
; Overview
 
; Overview

Latest revision as of 18:49, 20 May 2020

Subject Headings: NLP Tutorial.

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Description

The automated processing of text data has become a mission critical capability in industries as varied as medicine, finance, law, advertising, and engineering. This tutorial will review the best-practices in many of these application areas from the perspective of proven applications, methods, practices, tools and resources. When completed you will understand and be able to prototype components of an end-to-end NLP system that achieves best-baseline results.

Overview

References

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 AuthorvolumeDate ValuetitletypejournaltitleUrldoinoteyear
2017 IntroductiontoAppliedNaturalLanGabor MelliIntroduction to Big Applied Natural Language Processing2017
AuthorGabor Melli +
titleIntroduction to Big Applied Natural Language Processing +
year2017 +