An Automatic Persian Text Summarization System Based on Linguistic Features and Regression

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SOLTANI MAHMOOD; Nasiri Jalal; ASGARIAN EHSAN

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

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Journal: Iranian Journal of Information Processing & Management Year:2018 | Volume:33 | Issue:4 Page(s): 1813-1832

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Title

An Automatic Persian Text Summarization System Based on Linguistic Features and Regression

Author(s)

SOLTANI MAHMOOD | Nasiri Jalal | ASGARIAN EHSAN | Issue Writer Certificate

Keywords

Single-Document SummarizationQ1

Linguistic FeatureQ1

Linear RegressionQ1

Abstract

Considering the vast amount of existing written information and the shortage of time, optimal summarization of books, articles, news reports, etc. on the Web is a major concern of researchers. In this paper, we propose a new approach for Persian Single-Document Summarization based on several Linguistic Features of text. In our approach after extracting the Linguistic Features for each sentence, the weight of features is learned by a Linear Regression method. We select one sentence with maximum score at each step of algorithm. The score of each sentence is calculated based on two factors: first, sum of the weighted features and second, the amount of its similarity to the sentences that are selected for final summary previously. We use an automatic evaluation tool to compare our approach with other existing approaches. The result indicates that our method improves the performance of summarization.

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APA: Copy

SOLTANI, MAHMOOD, Nasiri, Jalal, & ASGARIAN, EHSAN. (2018). An Automatic Persian Text Summarization System Based on Linguistic Features and Regression. IRANIAN JOURNAL OF INFORMATION PROCESSING & MANAGEMENT (INFORMATION SCIENCES AND TECHNOLOGY), 33(4 ), 1813-1832. SID. https://sid.ir/paper/374448/en

Vancouver: Copy

SOLTANI MAHMOOD, Nasiri Jalal, ASGARIAN EHSAN. An Automatic Persian Text Summarization System Based on Linguistic Features and Regression. IRANIAN JOURNAL OF INFORMATION PROCESSING & MANAGEMENT (INFORMATION SCIENCES AND TECHNOLOGY)[Internet]. 2018;33(4 ):1813-1832. Available from: https://sid.ir/paper/374448/en

IEEE: Copy

MAHMOOD SOLTANI, Jalal Nasiri, and EHSAN ASGARIAN, “An Automatic Persian Text Summarization System Based on Linguistic Features and Regression,” IRANIAN JOURNAL OF INFORMATION PROCESSING & MANAGEMENT (INFORMATION SCIENCES AND TECHNOLOGY), vol. 33, no. 4 , pp. 1813–1832, 2018, [Online]. Available: https://sid.ir/paper/374448/en

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