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https://github.com/mlampros/texttinyr
Text Processing for Small or Big Data Files in R
https://github.com/mlampros/texttinyr
bh boost cpp11 processing r rcpp rcpparmadillo text
Last synced: 24 days ago
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Text Processing for Small or Big Data Files in R
- Host: GitHub
- URL: https://github.com/mlampros/texttinyr
- Owner: mlampros
- Created: 2017-01-04T16:34:50.000Z (almost 8 years ago)
- Default Branch: master
- Last Pushed: 2023-12-05T08:38:33.000Z (11 months ago)
- Last Synced: 2024-10-01T18:09:37.560Z (about 1 month ago)
- Topics: bh, boost, cpp11, processing, r, rcpp, rcpparmadillo, text
- Language: R
- Homepage: https://mlampros.github.io/textTinyR/
- Size: 1.55 MB
- Stars: 38
- Watchers: 10
- Forks: 8
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
[](https://github.com/mlampros/textTinyR/actions)
[](https://codecov.io/github/mlampros/textTinyR?branch=master)
[](http://cran.r-project.org/package=textTinyR)
[](http://www.r-pkg.org/pkg/textTinyR)
[](https://cran.r-project.org/package=textTinyR)
[](https://hub.docker.com/r/mlampros/texttinyr)
## textTinyR
The *textTinyR* package consists of text processing functions for small or big data files. More details on the functionality of textTinyR can be found in [blog-post1](http://mlampros.github.io/2017/01/05/textTinyR_package/) and [blog-post2](http://mlampros.github.io/2018/04/04/extending_textTinyR_package/). The R package can be installed, in the following Operating Systems: Linux, Mac and Windows. However, there is one limitation : *chinese*, *japanese*, *korean*, *thai* or *languages with ambiguous word boundaries* are not supported.
**UPDATE 01-04-2018** : *boost-locale* is no longer a system requirement for the textTinyR package.
### **Installation of the textTinyR package (CRAN, Github)**
To install the package from CRAN use,
```R
install.packages('textTinyR')
```
and to download the latest version from Github use the *install_github* function of the devtools package,
```R
devtools::install_github(repo = 'mlampros/textTinyR')
```
Use the following link to report bugs/issues,
[https://github.com/mlampros/textTinyR/issues](https://github.com/mlampros/textTinyR/issues)
**UPDATE 06-02-2020**
**Docker images** of the *textTinyR* package are available to download from my [dockerhub](https://hub.docker.com/r/mlampros/texttinyr) account. The images come with *Rstudio* and the *R-development* version (latest) installed. The whole process was tested on Ubuntu 18.04. To **pull** & **run** the image do the following,
```R
docker pull mlampros/texttinyr:rstudiodev
docker run -d --name rstudio_dev -e USER=rstudio -e PASSWORD=give_here_your_password --rm -p 8787:8787 mlampros/texttinyr:rstudiodev
```
The user can also **bind** a home directory / folder to the image to use its files by specifying the **-v** command,
```R
docker run -d --name rstudio_dev -e USER=rstudio -e PASSWORD=give_here_your_password --rm -p 8787:8787 -v /home/YOUR_DIR:/home/rstudio/YOUR_DIR mlampros/texttinyr:rstudiodev
```
In the latter case you might have first give permission privileges for write access to **YOUR_DIR** directory (not necessarily) using,
```R
chmod -R 777 /home/YOUR_DIR
```
The **USER** defaults to *rstudio* but you have to give your **PASSWORD** of preference (see [https://rocker-project.org/](https://rocker-project.org/) for more information).
Open your web-browser and depending where the docker image was *build / run* give,
**1st. Option** on your personal computer,
```R
http://0.0.0.0:8787
```
**2nd. Option** on a cloud instance,
```R
http://Public DNS:8787
```
to access the Rstudio console in order to give your username and password.
### **Citation:**
If you use the code of this repository in your paper or research please cite both **textTinyR** and the **original software** [https://CRAN.R-project.org/package=textTinyR/citation.html](https://CRAN.R-project.org/package=textTinyR/citation.html):
```R
@Manual{,
title = {{textTinyR}: Text Processing for Small or Big Data Files},
author = {Lampros Mouselimis},
year = {2021},
note = {R package version 1.1.8},
url = {https://CRAN.R-project.org/package=textTinyR},
}
```