https://github.com/spujadas/coursera-ddp-shiny
Coursera Developing Data Products Week 4 Peer-graded Assignment: Shiny
https://github.com/spujadas/coursera-ddp-shiny
language-detection nlp shiny
Last synced: 8 months ago
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Coursera Developing Data Products Week 4 Peer-graded Assignment: Shiny
- Host: GitHub
- URL: https://github.com/spujadas/coursera-ddp-shiny
- Owner: spujadas
- Created: 2017-02-26T17:58:09.000Z (over 9 years ago)
- Default Branch: master
- Last Pushed: 2017-02-26T18:26:29.000Z (over 9 years ago)
- Last Synced: 2025-01-14T08:52:03.772Z (over 1 year ago)
- Topics: language-detection, nlp, shiny
- Language: HTML
- Homepage:
- Size: 12.5 MB
- Stars: 5
- Watchers: 4
- Forks: 10
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Coursera Developing Data Products Week 4 Peer-graded Assignment: Shiny
In this project, we created a Shiny application and deployed it on RStudio's servers, and used R Presentations (also known as RStudio Presenter) to prepare a reproducible pitch presentation about our application.
The application is [published online on shinyapps.io](https://sebp.shinyapps.io/language-detection/) (will be online during the grading period of the Coursera Developing Data Products session, may be offline afterwards, but can be run offline on RStudio).
The presentation is [published online on RPubs](http://rpubs.com/sebp/language-detection) and [on GitHub](https://spujadas.github.io/coursera-ddp-shiny/language-detection-app).
The source files for the language corpora are included this repository (in the `corpora` subdirectory): they were taken from the [2016 OpenSubtitles Frequency Word Lists](https://github.com/hermitdave/FrequencyWords/) project, where they have been released under the MIT license.