TY - GEN
T1 - Automatically constructing dictionaries for extracting meaningful crime information from Arabic text
AU - Alruily, Meshrif
AU - Ayesh, Aladdin
AU - Zedan, Hussein
PY - 2010
Y1 - 2010
N2 - Arabic is widely spoken language but very few text mining tools have been developed for Arabic language. This paper presents an algorithm for automatically building dictionaries. The target domain is crime profiling. The corpus is mined for crime type, location and nationality. This work is then validated through three experiments, the results of which show that the algorithm developed here is promising.
AB - Arabic is widely spoken language but very few text mining tools have been developed for Arabic language. This paper presents an algorithm for automatically building dictionaries. The target domain is crime profiling. The corpus is mined for crime type, location and nationality. This work is then validated through three experiments, the results of which show that the algorithm developed here is promising.
UR - http://www.scopus.com/inward/record.url?scp=77956050469&partnerID=8YFLogxK
U2 - 10.3233/978-1-60750-606-5-1139
DO - 10.3233/978-1-60750-606-5-1139
M3 - Published conference contribution
AN - SCOPUS:77956050469
SN - 9781607506058
VL - 215
T3 - Frontiers in Artificial Intelligence and Applications
SP - 1139
EP - 1140
BT - ECAI 2010
PB - IOS Press
T2 - 2nd Workshop on Knowledge Representation for Health Care, KR4HC 2010, held in conjunction with the 19th European Conference in Artificial Intelligence, ECAI 2010
Y2 - 17 August 2010 through 17 August 2010
ER -
