Mohammad Hadi Elahimanesh - Academia.edu (original) (raw)
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Papers by Mohammad Hadi Elahimanesh
International Journal of Academic Research in Progressive Education and Development, 2015
Some issues on the authorship identification in the Apostles' Epistles
The focus of this article is unknown word Part-of-Speech (POS) tagging. POS tagging which is one ... more The focus of this article is unknown word Part-of-Speech (POS) tagging. POS tagging which is one the fundamental requirements for intelligent text processing based on texts language. Therefore, this article firstly aims to provide a POS tagger with high accuracy for Persian language. The technique which is proposed by this article for handling unknown words is using a combination of a type of associative classifier along with a Hidden Markov Models (HMM) algorithm. Associative classification is a new classification approach integrating association mining and classification. The associative classifier used in this study is a type of associative classifiers that is innovated by this research. This kind of classifier not only uses sequence probability but also uses the CBA classifier. CBA first generates all the association rules with certain support and confidence thresholds as candidate rules. It then selects a small set of rules from them to form a classifier. When predicting the class label for an example, the best rule whose body is satisfied by the example is chosen for prediction. Based on the experimental results, the proposed algorithm can increase the accuracy of Persian unknown word POS tagging to 81.8 %. The total accuracy of proposed tagger is 98 % and its sentence accuracy is 63.1 %.
lrec-conf.org
One of the common processes in the field of text mining is text classification. Because of the co... more One of the common processes in the field of text mining is text classification. Because of the complex nature of Farsi language, words with separate parts and combined verbs, the most of text classification systems are not applicable to Farsi texts. K-Nearest ...
International Journal of Academic Research in Progressive Education and Development, 2015
Some issues on the authorship identification in the Apostles' Epistles
The focus of this article is unknown word Part-of-Speech (POS) tagging. POS tagging which is one ... more The focus of this article is unknown word Part-of-Speech (POS) tagging. POS tagging which is one the fundamental requirements for intelligent text processing based on texts language. Therefore, this article firstly aims to provide a POS tagger with high accuracy for Persian language. The technique which is proposed by this article for handling unknown words is using a combination of a type of associative classifier along with a Hidden Markov Models (HMM) algorithm. Associative classification is a new classification approach integrating association mining and classification. The associative classifier used in this study is a type of associative classifiers that is innovated by this research. This kind of classifier not only uses sequence probability but also uses the CBA classifier. CBA first generates all the association rules with certain support and confidence thresholds as candidate rules. It then selects a small set of rules from them to form a classifier. When predicting the class label for an example, the best rule whose body is satisfied by the example is chosen for prediction. Based on the experimental results, the proposed algorithm can increase the accuracy of Persian unknown word POS tagging to 81.8 %. The total accuracy of proposed tagger is 98 % and its sentence accuracy is 63.1 %.
lrec-conf.org
One of the common processes in the field of text mining is text classification. Because of the co... more One of the common processes in the field of text mining is text classification. Because of the complex nature of Farsi language, words with separate parts and combined verbs, the most of text classification systems are not applicable to Farsi texts. K-Nearest ...