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Título : Use of text mining for understanding Peruvian students and faculties’ perceptions on bibliometrics training
Autor : Vílchez‐Román, Carlos
Alhuay Quispe, Joel
Palabras clave : Minería de texto
Bibliometría
Estudiantes universitarios
Cuestionarios
Percepción
Profesionales
Fecha de publicación : sep-2016
Editorial : CEUR Workshop Proceedings
Citación : Vílchez‐Román, C. & Alhuay-Quispe, Joel. (2016). Use of text mining for understanding Peruvian students and faculties’ perceptions on bibliometrics training. En 3rd Annual International Symposium on Information Management and Big Data.
Resumen : Background: Studies on bibliometrics and informetrics training have focused on teachers and curricular experts’ opinion, only a few studies have examined undergraduate students and practitioners’ perceptions. Objective: To understand how librarianship students and professionals perceive the bibliometrics and informetrics training delivered to them. Methods: For data collection, we used a survey with opened-ended questions, to know the genuine responses of the participants. After working with the automatic term extraction technique, for codifying the answers we employed a data dictionary for quantifying the frequency of occurrences. The software programs used at this stage were ter-MEXt and LWIC. Data analysis was carried out with statistics of mean difference and the correlation coefficient. Results: The output of statistical analysis lets us understood how students and practitioners perceive the bibliometrics and informetrics training delivered to them. Conclusion: Text mining techniques facilitates the processing of responses to opened-ended questions, and contributes with a quantitative approach to analyzing people’s opinions.
URI : http://repositorio.usil.edu.pe/handle/USIL/1934
http://ceur-ws.org/Vol-1743/paper20.pdf
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