tr-preprocessing | Türkçe metinler için metin ön işleme kütüphanesi ; küçük

by ncarkaci Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | tr-preprocessing Summary

tr-preprocessing is a Python library. tr-preprocessing has no bugs, it has no vulnerabilities and it has low support. However tr-preprocessing build file is not available. You can download it from GitHub.

Türkçe metinler için metin ön işleme kütüphanesi; küçük harfe dönüştürme, şapkalı karakterleri eşleniği il değiştirme, stopwords'leri çıkarma, noktalama işaretlerini kaldırma, stopwords'ün geçerliliğini kontrol etme, klasör altındaki birden çok dosyayı birleştirip aynı anda işleme, rakamları, boşlukşarı, yeni satırları kaldırma yada olduğu gibi bıırakma gibi metin işleme de ihtiyaç duyulan işlemleri yapılabileceği python kütüphanesi. Genelde makine öğrenmesi çalışmalarında veriler toplandıktan sonra çalışma öncesinde ön işleme tabi tutulurlar. Bu işlemde Türkçe karakterler ile ilgili problemler yaşanabilmektedir. Geliştirilen kütüphanede tüm işlemleri tek bir kütüphane altında toplanmıştır.

Support

Quality

Security

License

Reuse

Support

tr-preprocessing has a low active ecosystem.

It has 18 star(s) with 3 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

tr-preprocessing has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of tr-preprocessing is current.

Quality

tr-preprocessing has 0 bugs and 0 code smells.

Security

tr-preprocessing has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

tr-preprocessing code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

tr-preprocessing does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

tr-preprocessing releases are not available. You will need to build from source code and install.

tr-preprocessing has no build file. You will be need to create the build yourself to build the component from source.

tr-preprocessing saves you 93 person hours of effort in developing the same functionality from scratch.

It has 237 lines of code, 17 functions and 2 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed tr-preprocessing and discovered the below as its top functions. This is intended to give you an instant insight into tr-preprocessing implemented functionality, and help decide if they suit your requirements.

Preprocess a dataset
Remove stopwords from text
Filters out stopwords for the given text
Return the frequency of words in text
Calculate statistics for text
Merges all files in a directory
Check if stopword is in the given frequency list
Replace characters in text
Removes undefined characters from text
Removes new line from text
Convert text to lowercase
Removes punctuation from text
Turn text into lines
Converts text to stems
Check if a stopword is a stopword

Get all kandi verified functions for this library.

tr-preprocessing Key Features

No Key Features are available at this moment for tr-preprocessing.

tr-preprocessing Examples and Code Snippets

No Code Snippets are available at this moment for tr-preprocessing.

Community Discussions

No Community Discussions are available at this moment for tr-preprocessing.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install tr-preprocessing

You can download it from GitHub.
You can use tr-preprocessing like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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