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International Journal of Speech Technology
Erschienen in: International Journal of Speech Technology 2/2016

29.10.2015 | Special Issue Article

Time-sensitive Arabic multiword expressions extraction from social networks

verfasst von: Daoud Daoud, Akram Al-Kouz, Mohammad Daoud

Erschienen in: International Journal of Speech Technology | Ausgabe 2/2016

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Abstract

In this paper, we present a comprehensive approach for extracting and relating Arabic multiword expressions (MWE) from Social Networks. 15 million tweets were collected and processed to form our data set. Due to the complexity of processing Arabic and the lack of resources, we built an experimental system to extract and relate similar MWE using statistical methods. We introduce a new metrics for measuring valid MWE in Social Networks. We compare results obtained from our experimental system against semantic graph obtained from web knowledgebase.
Vorheriger Artikel ViStA: a visualization system for exploring Arabic text
Nächster Artikel Improving Arabic morphological analyzers benchmark

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Fußnoten
2
The translation of “عاصفة الحزم” into English using Google translate is “Storm packets”, which is unrelated to the source MWE. This is a clear demonstration of the necessity to treat MWE as one unit.
 
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Metadaten
Titel
Time-sensitive Arabic multiword expressions extraction from social networks
verfasst von
Daoud Daoud
Akram Al-Kouz
Mohammad Daoud
Publikationsdatum
29.10.2015
Verlag
Springer US
Erschienen in
International Journal of Speech Technology / Ausgabe 2/2016
Print ISSN: 1381-2416
Elektronische ISSN: 1572-8110
DOI
https://doi.org/10.1007/s10772-015-9315-3

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