Text mining: An exploratory look at the proposed aspects of improvement in measurement and social development in Mexico: Selection of Academic Researchers for CONEVAL 2020

Medel-Ramírez, Carlos and Medel-López, Hilario (2020): Text mining: An exploratory look at the proposed aspects of improvement in measurement and social development in Mexico: Selection of Academic Researchers for CONEVAL 2020.

Abstract

The importance of the working document is that it allows analyzing the position of 104 researchers of the Conacyt National System of Researchers (Candidate levels, Level I, Level II and Level III) regarding their perspective on modifications and / or improvements in the evaluation and the measurement of poverty for the development of social policy, facing the challenges for the consolidation of evaluation in Mexico. This position arises as part of the prospective exercise in accordance with the Call dated January 9, 2020 regarding the process of electing three academic researchers to form part of the National Council for the Evaluation of Social Development Policy in the National Council for the Evaluation of the Social Development Policy (CONEVAL). The text analysis is carried out by designing a text mining algorithm using the Orange Data Mining 3.26.0 software, in order to identify thematic groups of the positioning, to identify the opportunity area and to serve as the basis for the analysis and design of public policy on Social Development in Mexico.

• Item Type: MPRA Paper
• Language: English
• Keywords: Text mining, Social Development, Indicators, Evaluation, CONEVAL, Poverty Measurement, Evaluation, Mexico
• Subjects: I - Health, Education, and Welfare > I3 - Welfare, Well-Being, and Poverty > I31 - General Welfare, Well-Being; I - Health, Education, and Welfare > I3 - Welfare, Well-Being, and Poverty > I32 - Measurement and Analysis of Poverty; O - Economic Development, Innovation, Technological Change, and Growth > O2 - Development Planning and Policy > O20 - General; Y - Miscellaneous Categories > Y1 - Data: Tables and Charts; Y - Miscellaneous Categories > Y1 - Data: Tables and Charts > Y10 - Data: Tables and Charts

References

[1] Demsar J, Curk T, Erjavec A, Gorup C, Hocevar T, Milutinovic M, Mozina M, Polajnar M, Toplak M, Staric A, Stajdohar M, Umek L, Zagar L, Zbontar J, Zitnik M, Zupan B (2013) Orange: Data Mining Toolbox in Python, Journal of Machine Learning Research 14(Aug): 2349−2353. https://dl.acm.org/doi/pdf/10.5555/2567709.2567736

[2] National Council for the Evaluation of Social Development Policy (CONEVAL) https://www.coneval.org.mx/quienessomos/InvestigadoresAcademicos/Paginas/Convocatoria_Eleccion_2020.aspx

[3] National Council for the Evaluation of Social Development Policy (CONEVAL). (2020). CALL for the election of three academic researchers to form part of the National Council for the Evaluation of Social Development Policy. Official Journal of the Federation. January 9, 2020 Recovered from: https://www.coneval.org.mx/quienessomos/InvestigadoresAcademicos/Documents/Diario_Oficial_de_la_Federacion.pdf

[4] National Council for the Evaluation of Social Development Policy (CONEVAL). (2020) Simplified privacy notice regarding the call for the election of three academic researchers to form part of the National Council for the Evaluation of Social Development Policy. Official Journal of the Federation. Recovered from: https://www.coneval.org.mx/odt/UAA/GCI/Documents/Avisos_Privacidad/Convocatoria_Consejeros/APS_Convocatoria_IA%20vf.pdf

[5] Software Orange Data Mining version 3.25.1 https://orange.biolab.si

[6] Software ocr.space version 3.50 https://ocr.space/

Reference to a dataset:

[7] Raw data can be retrieved from the Github repository https://github.com/CMedelR/Vertientes-propuestas-de-mejora-en-la-medicion-y-desarrollo-social/blob/master/README.md