devil-cyber / Email_Spam_Detection

Spam Detection using nltk library and Machine Learning Algorithm

To used this project follow these steps

• Your system should contain pip as dependency
• Fork or download the code
• Create virtual env. inside Pycharm or visual studio
• fire this command pip install -r requirements.txt
• if above command run prefectly then run your app.py file

Note to run this app locally make a small change in app.py

• remove this code app.run(host="0.0.0.0", port=port) with app.run(debug=True)
• remove this code port = int(os.getenv('PORT')) this is only for deployment server

Algorithm Used

• To clean the text this code has been used '''

    z = message
    l = []
    review = re.sub(r'\W+', ' ', z)
    review = review.lower()
    review = review.split()
    review = [lem.lemmatize(word) for word in review if word not in stop_words]
    review = ' '.join(review) has been used
    l.append(review)
    return l
  

'''

• Fot stemming WordNetLemmatizer() has been used
• To convert the text into numeric weight TFID algorithm has been used
• For classification naive algorithm has been used you can also go with SVM