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Cites:

Information Journal Paper

Title

Identifying the Information Analysis Components in Retrieval Systems, Based on Information Visualization Techniques in Scientometrics: A Systematic Review

Pages

  191-216

Abstract

 Purpose: The purpose of this research is to study the components of the Information analysis in information retrieval systems. Methodology: The current study has been done using Systematic review and qualitative content analysis. The statistical population includes research articles in the field of Information analysis in information retrieval systems, which have been found by search strategies from the beginning to 2019 in the scientific databases (Scopus, Science Direct, Pubmed, and IEEE). PRISMA Statement was used for sampling. First 2048 articles were identified and then after four steps (Identification, Screening, Eligibility, and Inclusion), 83 articles were selected for final analysis. Findings: For answering the research question about what is effective components of Information analysis in Information retrieval systems, there are five basic categories was obtained Analytics (“ Benchmarking” , “ Collaboration and scientometrics” , “ Text analysis” ), Description (“ Analyzed fields” , “ Representation levels” , “ Presentation” ), Human-computer interaction (“ Navigation” , “ Searching” , “ Filtering” , “ Sorting” , “ user-system dialog” , “ Links” , “ Personalization” ), Information management (“ System management” , “ User management” , “ Helps” ) and Information analysis results (“ Exploration” , “ Psychological aspects” ). Conclustion: The obtained categorization in current research can be noticed for information retrieval systems design more analytically and evaluate them.

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  • Cite

    APA: Copy

    Mousavizadeh, Maryam, NOROOZI CHAKOLI, ABDOLREZA, & POURNAGHI, ROYA. (2022). Identifying the Information Analysis Components in Retrieval Systems, Based on Information Visualization Techniques in Scientometrics: A Systematic Review. SCIENTOMETRICS RESEARCH JOURNAL, 8(1 (15) ), 191-216. SID. https://sid.ir/paper/957561/en

    Vancouver: Copy

    Mousavizadeh Maryam, NOROOZI CHAKOLI ABDOLREZA, POURNAGHI ROYA. Identifying the Information Analysis Components in Retrieval Systems, Based on Information Visualization Techniques in Scientometrics: A Systematic Review. SCIENTOMETRICS RESEARCH JOURNAL[Internet]. 2022;8(1 (15) ):191-216. Available from: https://sid.ir/paper/957561/en

    IEEE: Copy

    Maryam Mousavizadeh, ABDOLREZA NOROOZI CHAKOLI, and ROYA POURNAGHI, “Identifying the Information Analysis Components in Retrieval Systems, Based on Information Visualization Techniques in Scientometrics: A Systematic Review,” SCIENTOMETRICS RESEARCH JOURNAL, vol. 8, no. 1 (15) , pp. 191–216, 2022, [Online]. Available: https://sid.ir/paper/957561/en

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