چکیده مقاله
Text Segmentation has been used in different natural language processing tasks, such as information retrieval and text summarization In this paper a novel Persian text segmentation algorithm is proposed Our proposed algorithm applies the imperialist competitive algorithm ICA to find the optimal topic boundaries It is the first time that an evolutionary algorithm applies in Persian text segmentation The experimental results show that proposed algorithm is more accurate than other Persian text segmentation algorithms
کلیدواژهها
نویسندگان
Nooshin Shirali
Department of Computer, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran
Marjan Abdeyazdan
Department of Computer, Mahshahr Branch, Islamic Azad University, Mahshahr, Iran
شیوه ارجاع
Shirali, Nooshin and Abdeyazdan, Marjan,1394,An Imperialist Competitive Algorithm for Persian Text Segmentation,International Conference on New Research Findings in Electrical Engineering and Computer Science,Tehran
ارائهشده در
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