Zodiac
The zodiac project contains several tools allowing to exploit and process these emails.
- A client to fetch your email and store it into a dataframe
- A multi-label classifier
- cleaning functions
- A class to enrich your mail dataframe
Instalation
pip install zodiac
Exemple
from classifier.article_classifier import ArticleClassifier
from classifier.cleaner import ArticleCleaner
from GmailAnalyser.GmailClient import GmailClient
from GmailAnalyser.GmailAnalytics import GmailAnalytics
# Create client object with our credentials.json file
# This operation must create a token.pickle file in the directory
# where you execute this code.
client = GMailClient(path_to_credentials='/credentials.json')
# This method fetch all the mail from your forum that
# are from:people mailing list
#maxResult limit the result to one mail.
mails_df = client.MessageFromForums(query='people', maxResults=1)
# display the body of the first mail in the dataframe
print(mails_df.body[0])
# initialise an analytics object
analyser = GMailAnalytics()
# enrich the dataframe using the analyser
analyser.fit(dataframe=mails_df)
# return all the email text as list
text_list = mails_df['body'].to_list()
cleaner = ArticleCleaner()
cleaned_text = cleaner.fit_transform(text_list)
classifier = ArcticleClassifier(ngram=(1,2))
classifier.load_weights(path='model_weights.weights')
# return the jaccard score for each element
classifier.predict_proba(text_list)
# save your model
classifier.save_wrights(path='./model_1900.weights')Licence
MIT Licence