Tuesday 23rd of April 2024
 

Email Filtering and Analysis Using Classification Algorithms


Akanksha Pandey, Akshay Iyer, Karmanya Pathak, Dipti Pamnani and Jayshree Hajgude

With the various developments that are taking place in the field of technology especially in the communication domain, there are a plethora of malpractices that are being practiced to hinder the users` chores. Most of these practices can be observed in the Email Account of a user. Any internet user with a registered email account has an inbox which consists of his emails. These mails include everything from personal messages to advertisements and entertainment promotional emails. All these emails are present in an unorganized manner. Also some mails which are being received by the user may contain harmful content which may prove to have severe consequences (Normally Termed as Spam). The motivation behind this paper is to try and find a solution to free the users of internet from this issue pertaining to their emails account and emails. With this idea in mind, we present this report on Email Filtering and Analysis using Classification Algorithms.

Keywords: Naive Bayes, C4.5, Spam, Non Spam, Email, Keyword.

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ABOUT THE AUTHORS

Akanksha Pandey
Akanksha Pandey has graduated from Vivekanand Education Society’s Institute of Technology in 2014. She is currently employed with Accenture.

Akshay Iyer
Akshay Iyer has graduated from Vivekanand Education Society’s Institute of Technology in 2014. He is currently employed with Indus Valley Partners.

Karmanya Pathak
Karmanya Pathak has graduated from Vivekanand Education Society’s Institute of Technology in 2014.

Dipti Pamnani
Dipti Pamnani has graduated from Vivekanand Education Society’s Institute of Technology in 2014. She is currently employed with Accenture.

Jayshree Hajgude
Professor V.E.S.I.T


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