Metadata-Version: 2.1
Name: cleantweet
Version: 0.1.1
Summary: a python library to clean tweets fetched from the Twitter API.
Home-page: https://cleantweet.readthedocs.io/
Author: Lare Samuel Adeola
Author-email: laresamdeola@gmail.com
License: MIT
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown

CleanTweet version 0.1.1



CleanTweet helps in Natural Language Processing tasks especially in the area of preprocessing and cleaning your data 

fetched from the Twitter API Backend.



Installation <br/>

pip install cleantweet <br/>

Get Started <br/>

How to clean your Twitter Object:



Example 1: If the text file containing the Twitter JSON Data is in the same directory as project files.



!pip install cleantweet <br/>

from cleantweet import CleanTweet <br/>

import nltk <br/>

nltk.download('punkt')



### Instantiate the CleanTwitter Object

data = CleanTweet('sample_text.txt')



### Call the clean method

print(data.clean())



Example 2: When the above is not the case.



!pip install cleantweet <br/>

from cleantweet import CleanTweet <br/>

import nltk <br/>

nltk.download('punkt')

# import the os module

import os



### Instantiate the CleanTwitter Object

data = CleanTweet(os.path.join('./nameoffolder', 'sampling.txt'))



### Call the clean method

print(data.clean())



In this first version, the method clean() would only preprocess and clean the Twitter Object's default parameters which 

are the id and text.
