MEASURING THE INFORMATION CONTENT OF FARSI SCIENTIFIC TEXTS BASED ON INFORMATION THEORY OF ENTROPY

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BEIGLOO AZAM; DAVARPANAH MOHAMMAD REZA

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

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Journal: Library and Information Science Research Year:2016 | Volume:6 | Issue:1 (11) Page(s): 88-108

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Title

MEASURING THE INFORMATION CONTENT OF FARSI SCIENTIFIC TEXTS BASED ON INFORMATION THEORY OF ENTROPY

Author(s)

BEIGLOO AZAM | DAVARPANAH MOHAMMAD REZA | Issue Writer Certificate

Keywords

INFORMATION THEORYQ3

ENTROPYQ2

INFORMATION LOAD OF WORDQ2

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.

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References

STOPWORDS LIST CONSTRUCTION FOR AUTOMATIC INDEXING OF PERSIAN TEXTS

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APA: Copy

BEIGLOO, AZAM, & DAVARPANAH, MOHAMMAD REZA. (2016). MEASURING THE INFORMATION CONTENT OF FARSI SCIENTIFIC TEXTS BASED ON INFORMATION THEORY OF ENTROPY. LIBRARY AND INFORMATION RESEARCH JOURNAL (STUDIES IN EDUCATION & PSYCHOLOGY ), 6(1 (11)), 88-108. SID. https://sid.ir/paper/205031/en

Vancouver: Copy

BEIGLOO AZAM, DAVARPANAH MOHAMMAD REZA. MEASURING THE INFORMATION CONTENT OF FARSI SCIENTIFIC TEXTS BASED ON INFORMATION THEORY OF ENTROPY. LIBRARY AND INFORMATION RESEARCH JOURNAL (STUDIES IN EDUCATION & PSYCHOLOGY )[Internet]. 2016;6(1 (11)):88-108. Available from: https://sid.ir/paper/205031/en

IEEE: Copy

AZAM BEIGLOO, and MOHAMMAD REZA DAVARPANAH, “MEASURING THE INFORMATION CONTENT OF FARSI SCIENTIFIC TEXTS BASED ON INFORMATION THEORY OF ENTROPY,” LIBRARY AND INFORMATION RESEARCH JOURNAL (STUDIES IN EDUCATION & PSYCHOLOGY ), vol. 6, no. 1 (11), pp. 88–108, 2016, [Online]. Available: https://sid.ir/paper/205031/en

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