An Imperialist Competitive Algorithm for Persian Text Segmentation

Authors

  • Nooshin Shirali DQ-CCNE/UFSM
  • Marjan Abdeyazdan

DOI:

https://doi.org/10.5902/2179460X20780

Abstract

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.

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Published

2015-12-19

How to Cite

Shirali, N., & Abdeyazdan, M. (2015). An Imperialist Competitive Algorithm for Persian Text Segmentation. Ciência E Natura, 37, 247–252. https://doi.org/10.5902/2179460X20780

Issue

Section

Special Edition