Introduction to Text Classification in R with quanteda

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在此指导项目中,您将:
2 hours
初级
无需下载
分屏视频
英语(English)
仅限桌面

In this guided project you will learn how to import textual data stored in raw text files into R, turn these files into a corpus (a collection of textual documents), reshape them into paragraphs from documents and tokenize the text all using the R software package quanteda. You will then learn how to classify the texts using the Naive Bayes algorithm. This guided project is for beginners interested in quantitative text analysis in R. It assumes no knowledge of textual analysis and focuses on exploring textual data (US Presidential Concession Speeches). Users should have a basic understanding of the statistical programming language R.

您要培养的技能

  • Ordered Pair

  • Text Analysis

  • Algorithms

  • Statistical Programming Languages

  • Computer Programming

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