https://github.com/kbenoit/quanteda.dictionaries

Dictionaries for text analysis
https://github.com/kbenoit/quanteda.dictionaries

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Dictionaries for text analysis

• Host: GitHub
• URL: https://github.com/kbenoit/quanteda.dictionaries
• Owner: kbenoit
• License: other
• Created: 2017-06-12T22:06:20.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2023-01-31T13:21:44.000Z (almost 2 years ago)
• Last Synced: 2024-08-03T06:02:28.345Z (3 months ago)
• Language: HTML
• Size: 5.8 MB
• Stars: 70
• Watchers: 9
• Forks: 13
• Open Issues: 16
• Metadata Files:
  • Readme: README.Rmd
  • License: LICENSE

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README

        
---

title: "quanteda.dictionaries"

output: github_document

---

```{r setup, include=FALSE}

knitr::opts_chunk$set(echo = TRUE)

```

[![CRAN status](https://www.r-pkg.org/badges/version/quanteda.dictionaries)](https://CRAN.R-project.org/package=quanteda.dictionaries)

[![Coverage Status](https://img.shields.io/codecov/c/github/kbenoit/quanteda.dictionaries/master.svg)](https://codecov.io/github/kbenoit/quanteda.dictionaries?branch=master)

[![R-CMD-check](https://github.com/kbenoit/quanteda.dictionaries/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/kbenoit/quanteda.dictionaries/actions/workflows/R-CMD-check.yaml)

An R package consisting of dictionaries for text analysis and associated utilities. Designed to be used with [**quanteda**](http://quanteda.io) but can be used more generally with any text analytic package (e.g. **tidytext**, **tm**, etc.).

## Installing

```{r eval = FALSE}

# the devtools package needs to be installed for this to work

devtools::install_github("kbenoit/quanteda.dictionaries") 

```

## Demonstration

With the `liwcalike()` function from the **quanteda.dictionaries** package, you can easily analyse text corpora using existing or custom dictionaries. Here we show how to apply the Moral Foundations Dictionary to the US Presidential Inaugural speech corpus distributed with [**quanteda**](https://github.com/quanteda/quanteda).

```{r, warning=FALSE, message=FALSE}

library("quanteda")

library("quanteda.dictionaries")

output_lsd <- liwcalike(data_corpus_inaugural, dictionary = data_dictionary_MFD)

head(output_lsd)

```

## More dictionaries

More dictionaries are supplied with the [**quanteda.sentiment**](https://github.com/quanteda/quanteda.sentiment) package.

## Code of Conduct

Please note that this project is released with a [Contributor Code of Conduct](https://github.com/kbenoit/quanteda.dictionaries/blob/master/CONDUCT.md). By participating in this project you agree to abide by its terms.