https://github.com/syswe/formally

Turkish NLP Formal/Informal Classification System
https://github.com/syswe/formally

acikhack turkish-nlp venn

Last synced: 5 months ago
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Turkish NLP Formal/Informal Classification System

• Host: GitHub
• URL: https://github.com/syswe/formally
• Owner: syswe
• License: gpl-3.0
• Archived: true
• Created: 2019-12-01T07:15:34.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2023-12-24T23:56:26.000Z (almost 2 years ago)
• Last Synced: 2024-11-08T04:03:36.678Z (11 months ago)
• Topics: acikhack, turkish-nlp, venn
• Language: HTML
• Homepage:
• Size: 187 KB
• Stars: 17
• Watchers: 2
• Forks: 1
• Open Issues: 3
• Metadata Files:
  • Readme: README-en.md
  • License: LICENSE

Awesome Lists containing this project

• awesome-turkish-nlp - arcanteus/formally - Turkish NLP Formal/Informal Classification System. (Libraries / Python)

README

          
![Formally Logo](https://i.hizliresim.com/dLAVlZ.jpg)

## Formally - README ![GitHub last commit](https://img.shields.io/github/last-commit/arcanteus/formally)

*Formal/Informal Writing Classification System Turkish NLP Project*

### Description [![Inline docs](http://inch-ci.org/github/arcanteus/formally.svg?branch=master)](http://inch-ci.org/github/arcanteus/formally)

This application provides to classify the existing text or writings as formal or informal by using the data sets in hand.

Formally, it is an open source Turkish natural language processing project where you can easily identify informal expressions in your articles, academic e-mail or other official articles or correspondences.

### Installation ![GitHub repo size](https://img.shields.io/github/repo-size/arcanteus/formally)

* **Operation Systems:** macOS / OS X · Linux · Windows (Cygwin, MinGW, Visual Studio)

* **Python Version:** Python 2.7, 3.5+ (32/64 bit)

The project is implemented with Python 3, it can easily work with compile and run logic in the appropriate Python version with the attached commitment.

A web application interface is created via *HTML, CSS and Python [Flask](https://pythonspot.com/flask-web-app-with-python/)* is provided with a web interface that allows the user to implement the application. 

### Libraries and Toolkits ![Dependencies Up To Date](https://img.shields.io/badge/dependencies-up%20to%20date-green)

* [Nltk](https://github.com/nltk/nltk) (Neural Language Tool Kits) 

* [Zemberek](https://github.com/ahmetaa/zemberek-nlp)

* [Trstop](https://github.com/ahmetax/trstop)

* [NumPy](https://numpy.org/) ve [Pandas](https://pandas.pydata.org/) libraries

* [Scikit-Learn](https://scikit-learn.org/stable/)

* [Flask](https://pythonspot.com/flask-web-app-with-python/) 

Dependencies can auto-install with the requirements.txt (using pip3).

```python

pip install requirements.txt / pip3 install requirements.txt #OSX

```

### Contributors [![contributions welcome](https://img.shields.io/badge/contributions-welcome-brightgreen.svg?style=flat)](https://github.com/arcanteus/formally/issues) 

* Tuğrul Hakan Gençtürk [@tuhage](https://www.github.com/tuhage)

* Hüseyin Can Kalçık [@huseyin4334](https://www.github.com/huseyin4334)

* Görkem Temizel [@MrFinchh](https://www.github.com/MrFinchh)

* Canberk Duman [@Arcanteus](https://www.github.com/Arcanteus)

### License

* This project is licensed with the **GPL v3** license and is **Free Software**. ![Project License GPLv3.](https://img.shields.io/badge/License-GPLv3-yellow) 

License details can be found on the [LICENSE](LICENSE) page.