Automated event extraction from email using pattern matching technique / Ahmad Tarmizi Razali
Email has become a popular communication media today. It's not only used for communication but also become an announcement media. One such example is annoimcements of different types of event. In many environments, seminar annoimcements, meeting announcements, workshop and etc., flood the inb...
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| Format: | Thesis |
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Faculty of Computer and Mathematical Sciences
2007
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| Online Access: | http://ir.uitm.edu.my/id/eprint/713/ |
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uitm-713 |
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eprints |
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uitm-7132017-08-15T07:30:03Z http://ir.uitm.edu.my/id/eprint/713/ Automated event extraction from email using pattern matching technique / Ahmad Tarmizi Razali Razali, Ahmad Tarmizi Email has become a popular communication media today. It's not only used for communication but also become an announcement media. One such example is annoimcements of different types of event. In many environments, seminar annoimcements, meeting announcements, workshop and etc., flood the inbox of users. A significant amount of tune is spent for each user to read the message, extract some important information from the announcement and then update their calendar. This process is time consuming and tedious. And because of that, users just leave important annoimcements in the inbox and then miss them. Therefore, the objective of this research is to develop an event extraction engine to make the process of jotting the information into calendar will be done automatically. The information extraction is done using the pattern matching (also known as knowledge engineering) approach. Faculty of Computer and Mathematical Sciences 2007 Thesis NonPeerReviewed Razali, Ahmad Tarmizi (2007) Automated event extraction from email using pattern matching technique / Ahmad Tarmizi Razali. Degree thesis, Universiti Teknologi MARA. |
| repository_type |
Digital Repository |
| institution_category |
Local University |
| institution |
Universiti Teknologi MARA |
| building |
UiTM Institutional Repository |
| collection |
Online Access |
| description |
Email has become a popular communication media today. It's not only used for communication but also become an announcement media. One such example is annoimcements of different types of event. In many environments, seminar
annoimcements, meeting announcements, workshop and etc., flood the inbox of users. A significant amount of tune is spent for each user to read the message, extract some
important information from the announcement and then update their calendar. This process is time consuming and tedious. And because of that, users just leave important
annoimcements in the inbox and then miss them. Therefore, the objective of this research is to develop an event extraction engine to make the process of jotting the information into calendar will be done automatically. The information extraction is done using the pattern matching (also known as knowledge engineering) approach. |
| format |
Thesis |
| author |
Razali, Ahmad Tarmizi |
| spellingShingle |
Razali, Ahmad Tarmizi Automated event extraction from email using pattern matching technique / Ahmad Tarmizi Razali |
| author_facet |
Razali, Ahmad Tarmizi |
| author_sort |
Razali, Ahmad Tarmizi |
| title |
Automated event extraction from email using pattern matching technique / Ahmad Tarmizi Razali |
| title_short |
Automated event extraction from email using pattern matching technique / Ahmad Tarmizi Razali |
| title_full |
Automated event extraction from email using pattern matching technique / Ahmad Tarmizi Razali |
| title_fullStr |
Automated event extraction from email using pattern matching technique / Ahmad Tarmizi Razali |
| title_full_unstemmed |
Automated event extraction from email using pattern matching technique / Ahmad Tarmizi Razali |
| title_sort |
automated event extraction from email using pattern matching technique / ahmad tarmizi razali |
| publisher |
Faculty of Computer and Mathematical Sciences |
| publishDate |
2007 |
| url |
http://ir.uitm.edu.my/id/eprint/713/ |
| first_indexed |
2023-09-18T22:44:55Z |
| last_indexed |
2023-09-18T22:44:55Z |
| _version_ |
1777417160719597568 |