Paper Info
Title
Text mining approach for knowledge extraction in Sahîh Al-Bukhari
Abstract
The areas of information retrieval (IR) and information extraction (IE) are the subject of active research for several years in the community of Artificial Intelligence and Text Mining. With the appearance of large textual corpora in the recent years, we felt the need to integrate modules for information extraction in the existing information retrieval systems. The processing of large textual corpora leads needs that are situated at the border of information extraction and information retrieval areas. Our work in this paper, focus on the extraction of the surface information, i.e. information that not requires complex linguistic processing to be categorized. The goal is to detect and extract passages or sequences of words containing relevant information from the prophetic narrations texts. We propose Finite state transducers-based system that solves successively the problem of texts comprehension. Experimental evaluation results demonstrated that our approach is feasible. Our system achieved encouraging precision and recall rates, the overall precision and recall are 71% and 39% respectively.
Year
DOI
Venue
2014
10.1016/j.chb.2013.06.035
Computers in Human Behavior
Keywords
Field
DocType
Text mining,Information extraction,Named entity extraction,Prophetic narrations texts,Finite state transducer
Situated,Text mining,Information retrieval,Deep linguistic processing,Computer science,Precision and recall,Information extraction,Knowledge extraction,Natural language processing,Artificial intelligence,Comprehension,Relationship extraction
Journal
Volume
ISSN
Citations 
30,
0747-5632
10
PageRank 
References 
Authors
0.72
10
1
Name
Order
Citations
PageRank
Fouzi Harrag1273.75