ربيع, . (2022). Sustainable Development Goals (SDGs) Interlinkages Analysis Based on Text Mining. test, 30(1), 103-118. doi: 10.21608/inp.2022.233648
د. حسن ربيع. "Sustainable Development Goals (SDGs) Interlinkages Analysis Based on Text Mining". test, 30, 1, 2022, 103-118. doi: 10.21608/inp.2022.233648
ربيع, . (2022). 'Sustainable Development Goals (SDGs) Interlinkages Analysis Based on Text Mining', test, 30(1), pp. 103-118. doi: 10.21608/inp.2022.233648
ربيع, . Sustainable Development Goals (SDGs) Interlinkages Analysis Based on Text Mining. test, 2022; 30(1): 103-118. doi: 10.21608/inp.2022.233648

Sustainable Development Goals (SDGs) Interlinkages Analysis Based on Text Mining

المجلة المصرية للتنمية والتخطيط
Volume 30, Issue 1, March 2022, Pages 103-118    PDF (1.67 M)
Document Type: المقالة الأصلية
DOI: 10.21608/inp.2022.233648
Author
د. حسن ربيع*
Lecturer at Planning Techniques Center- Institute of National Planning.
Abstract
5 years passed and only 10 years left to achieve Sustainable Development Goals (SDGs), which were seen as an indivisible agenda. Since the launching of SDGs and the work on understanding and analyzing the nature of SDG interlinkages is going, which is vital to break down vertical siloes and to support decision-making process. Lack of integration across various sectors may result in incoherent policies and has been one of the major hindrances sustainable development approaches previously taken. Several methodological approaches for analyzing SDGs interlinkages have been proposed. The linguistic approach is one of the main approaches, in which, the assessment of the interlinkages between SDGs is based on their respective wording such as a keyword search. Once obtained and identified, the usage of such (clear) keywords make no confusion about the existence of interlinkages. Therefore, the assumption, two goals are interlinked if they have at least one thematic area keywords in common. The linguistic approach is applied using traditional methods, which lead to time consuming and inaccurate search process. This paper reviews the previous SDGs interlinkages methods; focusing on the linguistic approach. Also, a new text mining approach has been proposed to identify the SDGs interlinkages. The new text mining method could offer a signpost as a new method to improve process of identifying the SDGs interlinkages. The MICMAC analysis has been applied to further investigate for the SDGs interlinkages and to highlight the interrelationships between SDGs.

منذ إطلاق أهداف التنمية المستدامة والعمل جارى على فهم وتحليل طبيعة الروابط بين أهداف التنمية المستدامة. قد يؤدي عدم التكامل عبر مختلف القطاعات إلى سياسات غير متماسكة وهو الأمر الذي شكل أحد العوائق الرئيسة التي واجهت نهج التنمية المستدامة في السنوات السابقة.
تستعرض هذه الورقة أساليب تحليل الروابط بين أهداف التنمية المستدامة؛ مع التركيز على النهج اللغوي، وتقترح نهج جديد للتنقيب عن النصوص لتحديد الروابط بين أهداف التنمية المستدامة، حيث يمكن لطريقة التنقيب عن النصوص أن تشكل مدخلاً جديداً لتحسين عملية تحديد وتحليل الروابط البينية بين أهداف التنمية المستدامة. وأيضاً تم تطبيق تحليل MICMAC  لمزيد من تعميق البحث عن طبيعة وأبعاد الترابطات، وتسليط الضوء على العلاقات المتبادلة بين أهداف التنمية المستدامة بعضها البعض.
Keywords
Text Mining; Sustainable Development; SDGs Interlinkages; linguistic Approach MICMAC. تعدين النصوص - التنمية المستدامة – الروابط بين أهداف التنمية المستدامة – المنهج اللغوي - MICMAC
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