07-tidytext-mining.Rmd

# Textmining with Tidy Text

## Tidy Text Format

### Slides

<embed src="slides/pdf/1_tidy-text_slides.pdf" type="application/pdf" width="100%" height="600px" />

### Exercise 7 

Tidy format a text corpus.

### Exercise 8

Tidying Jane Austen's novels

### Solution

<embed src="slides/pdf/1_tidy-text_solution.pdf" type="application/pdf" width="100%" height="600px" />

## Sentiment Analysis

### Slides

<embed src="slides/pdf/2_sentiment-analysis_slides.pdf" type="application/pdf" width="100%" height="600px" />

### Exercise 9

Sentiment analysis of Austen's novels.

### Solution

<embed src="slides/pdf/2_sentiment-analysis_solution.pdf" type="application/pdf" width="100%" height="600px" />

## Word & Document Frequency

### Slides

<embed src="slides/pdf/3_word-and-document-frequency_slides.pdf" type="application/pdf" width="100%" height="600px" />

### Exercise 10

Term frequency and inverse document frequency in Austen's novels.

### Solution

<embed src="slides/pdf/3_word-and-document-frequency_solution.pdf" type="application/pdf" width="100%" height="600px" />

## Relationships Between Words

### Slides

<embed src="slides/pdf/4_relationships-between-words_slides.pdf" type="application/pdf" width="100%" height="600px" />

### Exercise 11

Tokenizing Austen's novels by n-gram.

### Exercise 12

Counting and correlating among sections: Pride and Prejudice.

### Solution

<embed src="slides/pdf/4_relationships-between-words_solution.pdf" type="application/pdf" width="100%" height="600px" />