Detecting significant events in Arabic microblogs using soft frequent pattern mining
Joint Authors
Zindah, Jihad Husam al-Din Salih
Maghari, Ashraf Y.
Source
Journal of Engineering Research and Technology
Issue
Vol. 6, Issue 1 (30 Apr. 2019), pp.11-19, 9 p.
Publisher
The Islamic University-Gaza Deanship of Research and Graduate Affairs
Publication Date
2019-04-30
Country of Publication
Palestine (Gaza Strip)
No. of Pages
9
Main Subjects
Engineering & Technology Sciences (Multidisciplinary)
Abstract EN
Nowadays, people use microblogs as a main platform to write about events that occur in their environment.
Many researches have been conducted for event detection on the English language, but, Arabic context has not received much research.
Furthermore, existing approaches rely on platform dependent features such as hashtags, mentions, or retweets, which make their approaches less efficient when these features are not presented.
Further, some approaches which depend only on bursty or frequently used words, detect general viral topics instead of event related topics.
In this work, we present a new approach for detecting events written in Arabic using frequent event triggers.
The approach first identifies the part of speech tags of a sentence and then analyze them to extract event triggers.
A soft frequent pattern mining method is applied to find co-occuring event triggers.
The approach has been evaluated using a subset of the Evetar dataset.
We divided the data into timely constrained windows to mimic the data stream behavior.
Two experiments of different time intervals were conducted, 6-hours and one-day time intervals.
We achieved an average F-meaure of 0.644 and 0.717.
The results show that our approach outperformed some widely known approaches and it was comparable with others.
American Psychological Association (APA)
Zindah, Jihad Husam al-Din Salih& Maghari, Ashraf Y.. 2019. Detecting significant events in Arabic microblogs using soft frequent pattern mining. Journal of Engineering Research and Technology،Vol. 6, no. 1, pp.11-19.
https://search.emarefa.net/detail/BIM-935921
Modern Language Association (MLA)
Zindah, Jihad Husam al-Din Salih& Maghari, Ashraf Y.. Detecting significant events in Arabic microblogs using soft frequent pattern mining. Journal of Engineering Research and Technology Vol. 6, no. 1 (Apr. 2019), pp.11-19.
https://search.emarefa.net/detail/BIM-935921
American Medical Association (AMA)
Zindah, Jihad Husam al-Din Salih& Maghari, Ashraf Y.. Detecting significant events in Arabic microblogs using soft frequent pattern mining. Journal of Engineering Research and Technology. 2019. Vol. 6, no. 1, pp.11-19.
https://search.emarefa.net/detail/BIM-935921
Data Type
Journal Articles
Language
English
Notes
Includes appendices : p. 19
Record ID
BIM-935921