Text mining approach for knowledge extraction in Sahîh Al-Bukhari
作者：
Highlights：
• Extraction of the surface information that not requires complex linguistic processing to be categorized.
• Detect and extract passages or sequences of words containing relevant information from the prophetic narrations texts.
• Propose a Finite state transducers-based system that solves successively the problem of texts comprehension.
• Evaluation results demonstrated that this approach is feasible.
• The system achieved encouraging precision and recall rates, the overall precision and recall are 71% and 39% respectively.
摘要
•Extraction of the surface information that not requires complex linguistic processing to be categorized.•Detect and extract passages or sequences of words containing relevant information from the prophetic narrations texts.•Propose a Finite state transducers-based system that solves successively the problem of texts comprehension.•Evaluation results demonstrated that this approach is feasible.•The system achieved encouraging precision and recall rates, the overall precision and recall are 71% and 39% respectively.
论文关键词：Text mining,Information extraction,Named entity extraction,Prophetic narrations texts,Finite state transducer
论文评审过程：Available online 27 July 2013.
论文官网地址：https://doi.org/10.1016/j.chb.2013.06.035
