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@ -51,7 +51,7 @@ library(tidytext)
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```
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### Content
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## Content
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The content of this repo is divided in three directories, each one containing
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different types of files.
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@ -67,7 +67,7 @@ lexicons, also stored in R-Data (binary) files---one file per lexicon.
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### Harry Potter CSV file
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## Harry Potter CSV file
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The data of all the books is available in `csv` format:
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`harry_potter_books.csv`.
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@ -96,7 +96,7 @@ and `r ncol(hp_books)` columns:
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### Harry Potter R-Data Files
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## Harry Potter R-Data Files
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The data of each book is also available in its own R-Data `rda` file
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(see [rda-data-files/](rda-data-files)):
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@ -143,7 +143,7 @@ n-gram analysis).
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### Sentiment Lexicons
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## Sentiment Lexicons
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In addition to the Harry Potter text, you can also find data for a handful of
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sentiment lexicons from the R package `"textdata"` (by Hvitfeldt and Silge):
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@ -31,7 +31,7 @@ library(tidyverse)
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library(tidytext)
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```
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### Content
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## Content
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The content of this repo is divided in three directories, each one
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containing different types of files.
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@ -46,7 +46,7 @@ containing different types of files.
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sentiment lexicons, also stored in R-Data (binary) files—one file
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per lexicon.
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### Harry Potter CSV file
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## Harry Potter CSV file
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The data of all the books is available in `csv` format:
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`harry_potter_books.csv`.
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@ -69,7 +69,7 @@ columns:
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3. `chapter`: associated chapter number
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### Harry Potter R-Data Files
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## Harry Potter R-Data Files
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The data of each book is also available in its own R-Data `rda` file
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(see [rda-data-files/](rda-data-files)):
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@ -112,7 +112,7 @@ of chapters in this book: 17 chapters.
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You may want to use these files to perform bigram analysis (or other
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type of n-gram analysis).
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### Sentiment Lexicons
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## Sentiment Lexicons
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In addition to the Harry Potter text, you can also find data for a
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handful of sentiment lexicons from the R package `"textdata"` (by
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