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A toolkit for calculating process entropy quickly. With specific applications to tweets.

Project description

ProcessEntropy

A toolkit for calculating process entropy quickly. With specific applications to tweets.

Example Usage

	# Load in tweets between 2018/11/16 to 2019/01/01
	import pandas as pd
	with open("example_data/BBCWorld_Tweets_small.csv", 'r') as f:
	    BBC = pd.read_csv(f)

	with open("example_data/BuzzFeedNews_Tweets_small.csv", 'r') as f:
	    BuzzFeed = pd.read_csv(f)

	target = list(zip(BuzzFeed['created_at'], BuzzFeed['tweet']))
	source = list(zip(BBC['created_at'], BBC['tweet']))


	from ProcessEntropy.CrossEntropy import *

	print(timeseries_cross_entropy(target, source))

Installation

pip install -e git+https://github.com/tobinsouth/ProcessEntropy.git#egg=ProcessEntropy

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