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Beyond vector space model for hierarchical Arabic text classification: A Markov chain approach

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dc.contributor.author Al-Anzi, Fawaz
dc.contributor.author AbuZeina, Dia
dc.date.accessioned 2021-05-09T08:07:51Z
dc.date.accessioned 2022-05-22T08:54:19Z
dc.date.available 2021-05-09T08:07:51Z
dc.date.available 2022-05-22T08:54:19Z
dc.date.issued 2017-10-11
dc.identifier.uri http://localhost:8080/xmlui/handle/123456789/8258
dc.description.abstract The vector space model (VSM) is a textual representation method that is widely used in documents classification. However, it remains to be a space-challenging problem. One attempt to alleviate the space problem is by using dimensionality reduction techniques, however, such techniques have deficiencies such as losing some important information. In this paper, we propose a novel text classification method that neither uses VSM nor dimensionality reduction techniques. The proposed method is a space efficient method that utilizes the first order Markov model for hierarchical Arabic text classification. For each category and sub-category, a Markov chain model is prepared based on the neighboring characters sequences. The prepared models are then used for scoring documents for classification purposes. For evaluation, we used a hierarchical Arabic text data collection that contains 11,191 documents that belong to eight topics distributed into 3-levels. The experimental results show that the Markov chains based method significantly outperforms the baseline system that employs the latent semantic indexing (LSI) method. That is, the proposed method enhances the F1-measure by 3.47%. The novelty of this work lies on the idea of decomposing words into sequences of characters, which found to be a promising approach in terms of space and accuracy. Based on our best knowledge, this is the first attempt to conduct research for hierarchical Arabic text classification with such relatively large data collection. en_US
dc.language.iso en_US en_US
dc.publisher Elsevier en_US
dc.subject Arabic text Classification Vector space model Markov chain Hierarchy en_US
dc.title Beyond vector space model for hierarchical Arabic text classification: A Markov chain approach en_US
dc.type Article en_US

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