Studies of emotional aspects of information search and retrieval on the Web: textresearch and scientific mapping

Abstract:
The present study was conducted to analyze the process of researches on the subject of emotional aspects in the field of information retrieval and mapping this field topic.From the methodological perspective, the present study is Descriptive survey and the type of study was practical.For this purpose, 371 related articles were extracted from Web of Science and the scientific map fields subject of these articles was traced by using ucinet software and combination of package it "netdraw". In this section, by using of matrix cotopics in the field subject cateorgy articles was extracted and applied.The analysis of findings showed that the most prolific author in this field was BELKIN, NJ in the field of library and information studies from America's with 19 scientific production.The most production resources were published in the JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE and then,INFORMATION PROCESSING & MANAGEMENT. The most products has been published in paper format (64.7 percent), with two authors, in English language in 2011,2009 and 2014. Most scientific production has been Performed by using experimental methods(97/26percent) with observation tools (63.46 percent).Review of studies on the emotional aspects of information retrieval based on the aims of the study into two groups, "based on user studies" and "content-based studies" showed that, User-based studies(54.49 percent) had the highest frequency of studies. adult age groups in most of these research have been studied.Children and patients also investigated in these research.In Content-based research, results showed that information systems analysis were the most content analyzed in the research. Emotional aspects of information retrieval in 60 Subject area has been published in the Web of Science.The most Articles in this field has been published in computer science, information systems, information and library science, and artificial intelligence.
Language:
Persian
Published:
Journal of Information Processing and Management, Volume:31 Issue: 4, 2016
Pages:
953 to 979
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