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Text Mining in R

Discover text mining in R and learn how to extract exciting insights from tweets, product reviews, and books through sentiment analysis in R.
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RData Manipulation16 hours6,603

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Track Description

Text Mining in R

Discover text mining in R and learn how to extract exciting insights from tweets, product reviews, and books through sentiment analysis in R. You’ll discover a range of approaches to organizing and analyzing text data from books, articles, documents, and more. You’ll get a primer into regular expressions and look at ways to search for common patterns in text effectively. As you progress, you’ll cover a range of tidyverse packages that can help with text analysis in R, including stringr and tidytext. As well as covering string manipulation and the bag of words technique for text mining in R, you’ll also look at how sentiment analysis works. By the time you finish, you’ll have a firm understanding of text analysis in R and will have the confidence to carry out your own text mining and sentiment analysis.

Prerequisites

There are no prerequisites for this track

  • Course

    1

    Introduction to Text Analysis in R

    Analyze text data in R using the tidy framework.

  • Course

    4

    Sentiment Analysis in R

    Learn sentiment analysis by identifying positive and negative language, specific emotional intent and making compelling visualizations.

Text Mining in R
4 courses
Track
Complete

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