dc.contributor.author |
Iqbal, Kashif |
|
dc.contributor.author |
A. Khan, Salman |
|
dc.contributor.author |
Anisa, Shamim |
|
dc.contributor.author |
Tasneem, Ayesha |
|
dc.contributor.author |
Mohammad, Nazeeruddin |
|
dc.date.accessioned |
2022-02-09T18:33:01Z |
|
dc.date.available |
2022-02-09T18:33:01Z |
|
dc.date.issued |
2022-02-15 |
|
dc.identifier.issn |
2210-142X |
|
dc.identifier.uri |
https://journal.uob.edu.bh:443/handle/123456789/4577 |
|
dc.description.abstract |
Email security has been a major concern in for a long time. One important aspect of e-mail security is effective and efficient
detection of spam e-mails, which is an added overhead in the proper functioning of modern email communication systems. In this
paper, a method based the Bidirectional Encoders Representations from Transformers (BERT) is proposed that stems from deep learning
(DL). Similar to Word Embedding, BERT is a technique for text representation and a combination of various DL methods such as
bidirectional encoder LSTM and Transformers. The pre-training phase takes significant computational effort, and to save computational
time, we used a pre-trained BERT model. A preliminary analysis of the proposed algorithm is carried out using a standard test suite of
Enron dataset. Initial results indicate that the proposed algorithm has a potential of generating promising results. |
en_US |
dc.language.iso |
en_US |
en_US |
dc.publisher |
University Of Bahrain |
en_US |
dc.subject |
Spam e-mail |
en_US |
dc.subject |
Deep learning |
en_US |
dc.subject |
Natural language processing |
en_US |
dc.subject |
Data security |
en_US |
dc.title |
A Preliminary Study on Personalized Spam E-mail Filtering Using Bidirectional Encoder Representations from Transformers (BERT) and TensorFlow 2.0 |
en_US |
dc.identifier.doi |
https://dx.doi.org/10.12785/ijcds/110173 |
|
dc.volume |
11 |
en_US |
dc.issue |
1 |
en_US |
dc.pagestart |
893 |
en_US |
dc.pageend |
903 |
en_US |
dc.contributor.authorcountry |
Pakistan |
en_US |
dc.contributor.authoraffiliation |
College of Computing and Information Sciences, Karachi Institute of Economics & Technology, Karachi, Pakistan |
en_US |
dc.source.title |
International Journal of Computing and Digital Systems |
en_US |
dc.abbreviatedsourcetitle |
IJCDS |
en_US |