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شناسایی روندهای نوظهور در مقالات کتابداری و اطلاع‌رسانی پزشکی منتشر شده در ایران با استفاده از الگوریتم TFIDF | ||
| پژوهش های کتابخانه های دیجیتالی و هوشمند | ||
| دوره 11، شماره 3 (پیاپی 42) - شماره پیاپی 41، آبان 1403، صفحه 61-74 اصل مقاله (1.44 M) | ||
| شناسه دیجیتال (DOI): 10.30473/mrs.2024.11585 | ||
| نویسندگان | ||
| میثم داستانی1؛ ثریا ضیایی2؛ فائزه دلقندی3 | ||
| 1دکتری، گروه علم اطلاعات و دانش‌شناسی، مرکز تحقیقات عوامل اجتماعی مؤثر سلامت، دانشگاه علوم پزشکی گناباد، گناباد، ایران. | ||
| 2دانشیار، گروه علم اطلاعات و دانش‌شناسی، دانشگاه پیام نور، تهران، ایران. | ||
| 3استادیار، گروه علم اطلاعات و دانش‌شناسی، دانشگاه پیام نور، تهران، ایران. | ||
| چکیده | ||
| پژوهش حاضر به شناسایی روندهای نوظهور در مقالات کتابداری و اطلاع‌رسانی پزشکی منتشر شده در مجلات علمی- پژوهشی ایرانی پرداخته است. مطالعه اکتشافی حاضر به تجزیه و تحلیل مقالات کتابداری و اطلاع‌رسانی پزشکی در مجلات این حوزه در ایران از سال 1376 تا 1398 با استفاده از فنون متن کاوی پرداخته است. جهت شناسایی مهم‌ترین واژگان به کار رفته در مقالات از الگوریتم TF-IDF استفاده شده است. زبان برنامه‌نویسی پایتون نیز جهت اجرای الگوریتم‌های متن‌کاوی به کار گرفته شده است. بررسی واژگان نوظهور در مقالات منتشر شده در مجلات کتابداری و اطلاع‌رسانی پزشکی نشان می‌دهد که واژگان لیب کوال، عملی، بابلیوتراپی در بازه زمانی 1384 تا 1394 به‌تازگی وارد مقالات و مطالعات حوزه کتابداری و اطلاع‌رسانی پزشکی در مجلات داخلی شده است. همچنین واژگان اختراع، آلتمتریک، مخزن، بازه زمانی 1394 تا 1399 به‌تازگی وارد مقالات و مطالعات حوزه کتابداری و اطلاع‌رسانی پزشکی در مجلات داخلی شده است. نتایج نشان‌دهنده آن است که واژگان مقالات کتابداری و اطلاع‌رسانی پزشکی در طول زمان ثابت نبوده و در بازه‌های زمانی مختلف، دچار تغییراتی شده است. این امر نشان‌دهنده آن است که همگام با ظهور و رشد فناوری، این رشته علمی نیز تغییر یافته است. | ||
| کلیدواژه‌ها | ||
| کتابداری و اطلاع‌رسانی؛ پزشکی؛ تجزیه و تحلیل؛ کلیدواژه؛ متن‌کاوی؛ ایران | ||
| عنوان مقاله [English] | ||
| Detecting emerging Trends in Articles on Iranian Medical librarianship and Information Using the TFIDF Algorithm | ||
| نویسندگان [English] | ||
| Meisam Dastani1؛ Soraya Ziaei2؛ Faeze Delghandi3 | ||
| 1Ph.D, Determinants of Knowledge and Information Science, Social Health Research Center, Gonabad University of Medical Sciences, Gonabad, Iran. | ||
| 2Associate Professor, Department of Knowledge & Information Science, Payame Noor University, Tehran, Iran. | ||
| 3Assistant Professor, Department of Knowledge & Information Science, Payame Noor University, Tehran, Iran. | ||
| چکیده [English] | ||
| The present study identifies emerging trends in medical library and information science articles published in Iranian scientific-research journals. This exploratory research analyzes medical library and information science articles published in this field’s journals in Iran from 1997 to 2020 using text mining techniques. The TF-IDF algorithm was employed to identify the most important terms used in the articles. Python programming language was utilized to implement the text mining algorithms. The examination of emerging terms in articles published in medical library and information science journals indicates that terms such as LibQUAL, practical, and bibliotherapy have recently entered the articles and studies of this field in domestic journals during the period from 2005 to 2015. Similarly, terms like invention, altmetrics, and repository have recently appeared in the articles and studies of this field in domestic journals during the period from 2015 to 2020. The results indicate that the terms used in medical library and information science articles have not remained constant over time and have undergone changes during different periods. This reflects that, in line with the emergence and growth of technology, this scientific field has also evolved. | ||
| کلیدواژه‌ها [English] | ||
| Library and Information Science, Medicine, Analysis, Keywords, Text Mining, Iran | ||
| مراجع | ||
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آمار تعداد مشاهده مقاله: 95 تعداد دریافت فایل اصل مقاله: 79 |
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