Measuring the Information Content of Farsi Scientific Texts Based on Information Theory of Entropy

Document Type : مقالات پژوهشی

Authors

• azam beigloo
• mohammad reza davarpanah

ferdowsi University of Mashhad

10.22067/riis.v6i1.25955

Abstract

Purpose: This study aimed to measure the information load of words in Farsi scientific texts and determine the relationship between some properties of the words and information load of the texts based on Shannon entropy.
Methodology: The study was conducted based on the content analysis of a number of 320 articles that were published in scientific-research Iranian journals in 2009. And the articles were chosen through random sampling method.
Findings: The entropy analysis indicated that there is a relationship between word frequency, word status, word length, and information load of the texts. The findings also showed a significant difference between information loads of the texts in different scientific areas.

Keywords

• Information theory
• Entropy
• Information load of word

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