International Conference on Advancements in Engineering and Technology (ICAET 2015) |
Foundation of Computer Science USA |
ICQUEST2015 - Number 6 |
October 2015 |
Authors: Rahul Bansod, R. S. Mangrulkar, and V. G. Bhujade |
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Rahul Bansod, R. S. Mangrulkar, and V. G. Bhujade . Extraction of Advertising Words from Text and Image based Spam mails for Classification. International Conference on Advancements in Engineering and Technology (ICAET 2015). ICQUEST2015, 6 (October 2015), 22-24.
Email is a very popular way of communicating with others over the internet. As number of internet users are growing rapidly, many people are finding, email communication an inexpensive way to send their data and for the communication. Almost every website ask for email id so as to complete their registration and making users more and more prone to get affected by the spam mails. These uninvited bulk emails occupies consumes large amount of network bandwidth and it also requires server storage space. Recently, Image spam is kind of spam invented by the spammers where advertising details are specified in the image or picture files. In the proposed system the technique of extracting promotional (Advertising) words from text and image based spam is discussed.