preprocess-tr 0.1.1

This is a text preprocessing package

Text Preprocessing Python Package

This python package is created by anonfolder. It provides various text preprcoessing utilities for natural language processing (NLP) tasks

Installation

Installation from Pypi

You can install this package using pip as follows:

pip install preprocess_tr

Installation from GitHub

If you want to install via github:

git clone https://github.com/troyhunterz/preprocess_tr

Requirements

You need to install this python packages:

pip install spacy==3.8.5
pip install -m spacy download en_core_web_md==3.8.0
pip install nltk==3.9.1
pip install beautifulsoup4==3.2.2
pip install textlob==0.19.0

Download NLTK Data

If you are using this package first time, then you need to download NLTK data as follows:

import preprocess_tr as ps
ps.download_nltk_pkgs

Uninstall the Package

To uninstall the package, use the following command:

pip uninstall preprocess_tr

How to Use the Package

Full Example: Cleaning Text

Here's an example of how you might use several functions together to clean text data:

import preprocess_tr as ps
def clean_text(text):
    text = ps.to_lower_case(text)
    text = ps.contraction_to_expansion(text)
    text = ps.remove_emails(text)
    text = ps.remove_urls(text)
    text = ps.rm_html(text)
    text = ps.rm_special_chars(text)
    text = ps.lemmatize(text)
    return text

text = "I'm loving this NLP tutorial! Contact me at [e-mail]. Visit https://example.com."
cleaned_text = clean_text(text)
print(cleaned_text)
# Output: i am loving this nlp tutorial contact me at visit

One Short Feature Extraction

import preprocess_tr as ps
ps.extract_features('i love NLP')

Notes

• Be cautious when using heavy operations like lemmatize and spelling_correction on very large datasets, as they can be time-consuming
• The package supports custom cleaning and preprocessing pipeline bby using these modular functions together