NLP with Quanteda R

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Mark Niemann-Ross

1:38:29

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01 - Introduction

01 - Welcome to natural language processing with R.mp4

00:47

02 - Skills and tools you need.mp4

03:27

02 - 1. Getting Started with Quanteda

01 - Introduction to quanteda.mp4

01:54

02 - Install quanteda.mp4

03:03

03 - 2. Understanding Corpora

01 - Create a quanteda corpus.mp4

05:18

02 - Create metadata with docvars.mp4

05:50

03 - Corpus subsets and groups.mp4

08:45

04 - Reshape and segment a corpus.mp4

04:16

05 - Remove lines from a corpus.mp4

01:53

04 - 3. Understanding Tokens

01 - Corpus and tokens.mp4

03:45

02 - Remove tokens and stopwords.mp4

04:49

03 - Group tokens.mp4

05:15

04 - Stemming with tokens.mp4

03:14

05 - 4. Understanding Document-Feature Matrix (DFM)

01 - Corpus, tokens, and DFM.mp4

01:02

02 - Create and modify a DFM.mp4

04:40

03 - Real-world analysis with DFM.mp4

10:27

06 - 5. Analysis and Visualization

01 - The quanteda textstat package.mp4

00:39

02 - Real-world text statistics with textstat.mp4

05:44

03 - Understand the quanteda sentiment package.mp4

02:34

04 - Real-world sentiment analysis with quanteda sentiment.mp4

13:54

05 - Visualization with textplot.mp4

03:27

06 - Use dplyr with quanteda.mp4

02:35

07 - Conclusion

01 - Your next steps in NLP.mp4

01:11

Description

Natural language processing is to words as computer vision is to pictures. In this course, expert technologist Mark Niemann-Ross gets you started learning NLP with the R programming language. Mark shows you how to use the R programming language to implement natural language processing algorithms. R is uniquely adept at manipulating matrices and producing statistics, both of which are core to NLP. Mark steps you through using quanteda, an alternative text mining framework, and helps you understand what corpora are and how you can create, modify, and use them. He explains tokens and a document-feature matrix (DFM). Plus, Mark explores analysis and visualization via the quanteda textstat package, the sentiment package, textplot, and dplyr.

This course was created by Mark Niemann-Ross. We are pleased to host this training in our library.

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Natural Language Processing

R Programming

Mark Niemann-Ross

Instructor's Courses

I’m friends with technology. But I’m not blindly in love with it. I ask it questions. I explain it. I prioritize people over technology. Bigger, better, and faster features make shinier products, but that isn’t what people want. People don’t want widgets, they want elegance and relevance. I’m an educator, manager, evangelist, marketer, technologist, futurist, coder. I point to the future. I explain the present. I learn from the past. People speak different languages: marketing, sales, engineering, management, strategy. I’m fluent in all of those. Sometimes I’m abrupt. Sometimes I apologize. I’m passionate, but willing to believe I’m wrong. I try to inform myself. “Why” is my favorite question, followed by “When.” I write science fiction. Sometimes it’s about spaceships, sometimes it’s about products. The goal is the same; explain where we want to be, point out hazards, celebrate arrival. I’m engaging. Informed. Opinionated. Respectful. Your thoughts?

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