NLP: Natural Language Processing with R 교육 과정

  1. 인공 지능 Training
  2. NLP Training
  3. NLP: Natural Language Processing with R 교육 과정

Course Code

nlpwithr

Duration

21 hours (usually 3 days including breaks)

Requirements

  • Some familiarity with programming.

Audience

  • Linguists and programmers

Overview

구조화되지 않은 데이터는 텍스트의 형태로 모든 데이터의 90 % 이상을 차지하는 것으로 추정됩니다. 블로그 게시물, 짹짹, 소셜 미디어 및 기타 디지털 출판물은 지속적으로 늘어나는 데이터에 추가됩니다.

강사가 진행하는이 강좌는이 데이터에서 통찰력과 의미를 추출하는 데 중점을 둡니다. R Language 및 Natural Language Processing (NLP) 라이브러리를 활용하여 컴퓨터 과학, 인공 지능 및 컴퓨터 언어학의 개념과 기술을 결합하여 텍스트 데이터의 의미를 알고리즘 적으로 이해합니다. 데이터 샘플은 고객 요구 사항에 따라 다양한 언어로 제공됩니다.

이 훈련이 끝날 때까지 참가자들은 서로 다른 출처의 데이터 세트 (크고 작은)를 준비한 다음 적절한 알고리즘을 적용하여 그 중요성을 분석하고보고 할 수 있습니다.

    코스 형식

    • 파트 강의, 파트 토론, 무거운 실전 연습, 가끔씩 이해 테스트

    Machine Translated

    Course Outline

    Introduction

    • NLP and R vs Python

    Installing and Configuring R Studio

    Installing R Packages Related to Natural Language Processing (NLP)

    An Overview of R's Text Manipulation Capabilities

    Getting Started with an NLP Project in R

    Reading and Importing Data Files into R

    Text Manipulation with R

    Document Clustering in R

    Parts of Speech Tagging in R

    Sentence Parsing in R

    Working with Regular Expressions in R

    Named-Entity Recognition in R

    Topic Modeling in R

    Text Classification in R

    Working with Very Large Data Sets

    Visualizing Your Results

    Optimization

    Integrating R with Other Languages (Java, Python, etc.)

    Summary and Conclusion

    회원 평가

    ★★★★★
    ★★★★★

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