As a morphologically rich language, Arabic poses special challenges to Part-of-Speech (POS) tagging. Words in Arabic texts often contain several segments; each has its own POS category. The choice of the segmentation level or the input unit, word-based or morpheme-based, is a maj...
Open access
Research Article10.9734/BJAST/2017/29754
With the exponential growth of textual information available from the Internet, there has been an emergent need to find relevant and in-time knowledge about crimes from this huge size of information. The huge size of such data makes the process of retrieving and analyzing texts m...
Open access
Research Article10.9734/BJAST/2016/21504
The main objective of this paper is to address Arabic text summarization using latent semantic analysis technique. LSA is a vectorial semantic form of analyzing relationships between a set of sentences. It is concerned with the word description as well as the sentence description...
Open access
Research Article10.9734/BJAST/2015/17678
Association rule mining is a data mining task that attempts to discover interesting knowledge from huge databases. Data mining researchers have studied subjective measures of interestingness to reduce the volume of discovered rules to ultimately improve the overall efficiency of...
Open access
Research Article10.9734/BJMCS/2014/12256
Due to the rapid development in information technology, Big Data has become one of its prominent feature that had a great impact on other technologies dealing with data such as machine learning technologies. K-mean is one of the most important machine learning algorithms. The alg...
Open access
Research Article10.9734/ajrcos/2021/v11i330262
As a result of the rapid changes in information and communication technology (ICT), the world has become a small village where people from all over the world connect with each other in dialogue and communication via the Internet. Also, communications have become a daily routine...
Open access
Research Article10.9734/CJAST/2017/36124