Metadata-Version: 2.1
Name: simager
Version: 0.0.1
Summary: A small package
Home-page: https://pypi.org/project/simager
Author: ulwan
Author-email: ulwan.nashihun@tiket.com
License: MIT
Keywords: nlp,text-processing,machine-learning,data-scientist,text-cleaner
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Build Tools
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Text Processing
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: emoji (>=0.6.0)
Requires-Dist: beautifulsoup4 (>=4.9.3)

# simager
Tools for cleaning or preprocessing text data

## Features
```
- Remove Hastag, mention, nonascii, emoticons, html tag, punctuation,
  character, repeated character, repeated word, number, whitespace
- Stopword Operation
- Text normalizer Operation
```

## Instalation
```
pip install simager
```
## Getting Started
```
from simager import text_cleaner, stop_word, normalizer


text_cleaner.rm_url("your text data")

text_cleaner.rm_all("your text data")

text_cleaner.rm_set([
    "rm_hastag",
    "rm_mention",
    "rm_url",
    "rm_punct",
    "rm_whitespace"
])
text_cleaner.rm("your text data")

stop_word.remove("your text data")

normalizer.text("your text data")
```
Full Example Usage [Here](https://github.com/ulwan/simager/tree/master/simager/example)



