Metadata-Version: 2.1
Name: Swifter-in-NLP-Fake-News-Identification
Version: 0.0.1
Summary: UNKNOWN
Home-page: UNKNOWN
Author: Sagnik Sarkar
License: UNKNOWN
Keywords: python,NLP,News Paper,Fake News,NLP News
Platform: UNKNOWN
Classifier: Development Status :: 1 - Planning
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Description-Content-Type: text/markdown
Requires-Dist: GoogleNews
Requires-Dist: newspaper3k
Requires-Dist: pandas
Requires-Dist: nltk

It is a package for educational purposes for NLP research for fake news
This will provide all the necessary source according to the time for one month with their description and title

It has one class init with two functions


class Swifter:


	def __init__(self, start_date,end_date, keyword):

		self._start_date = start_date

		self._end_date = end_date

		self._keyword = keyword

	def Collector(self):

		retun df



this Collector will collect the information in a dataframe and return the dataframe

to invoke it Try like this : 

*something = Swifter(Back_date,Todays_date,Key_to_be_searched)

x = *something.Collector()

Back_date,Todays_date,Key_to_be_searched are strings


