Loke, Chi Kuan (2014) A framework for sms spam filtering. [Final Year Project Report] (Unpublished)
![]() |
PDF (Please get the password from Technical & Digitization Management Unit, ext: 082-583913/ 082-583914)
LOKE CHI KUAN (24 pgs).pdf Restricted to Registered users only Download (11MB) |
![]() |
PDF (Please get the password by email to repository@unimas.my, or call ext: 3914/ 3942/ 3933)
Loke Chi Kuan ft.pdf Restricted to Registered users only Download (53MB) |
Abstract
The growth of technology has brought more convenient to human. Example, Short Message Service (SMS) enable human to communicate with each other. The popularity of SMS messages induced spam message issues increases, as people tend to mislead the beneficial from the technology. This paper proposed methods on how to filter the spam messages. In the content of this paper, the discussions are mainly how to use the functionality of bag-of-words, importance of feature extraction and classification for the incoming unknown messages. Once the keywords are being trained, the testing set prototype will able to classify the short text message. In order to train the dataset, this project requires to search more sample SMS dataset. The objective of this project is to prevent users from receiving spam messages. Therefore, the topic of this Final Year Project is Framework Method for SMS Spam filtering. Basically there is a difference between filtering email and SMS. SMS does not have header unlike email. Therefore, users very hard to determine the SMS is a spam or ham.
Item Type: | Final Year Project Report |
---|---|
Additional Information: | Project Report (B.Sc.) -- Universiti Malaysia Sarawak, 2014. |
Uncontrolled Keywords: | Short Message Service (SMS), Spam filtering |
Subjects: | T Technology > T Technology (General) |
Divisions: | Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology Faculties, Institutes, Centres > Faculty of Computer Science and Information Technology Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology |
Depositing User: | Unai |
Date Deposited: | 29 Jul 2022 07:26 |
Last Modified: | 01 Mar 2024 03:47 |
URI: | http://ir.unimas.my/id/eprint/38989 |
Actions (For repository members only: login required)
![]() |
View Item |