Use of text mining for understanding Peruvian students and faculties’ perceptions on bibliometrics training

• Autores: Vílchez‐Román, Carlos, Alhuay Quispe, Joel
• Formato: objeto de conferencia
• Fecha de Publicación: 2016
• Institución: Universidad San Ignacio de Loyola
• Repositorio: USIL-Institucional
• Lenguaje: inglés
• OAI Identifier: oai:repositorio.usil.edu.pe:20.500.14005/1934
• Enlace del recurso: https://hdl.handle.net/20.500.14005/1934; http://ceur-ws.org/Vol-1743/paper20.pdf
• Nivel de acceso: acceso embargado
• Materia: Minería de texto; Bibliometría; Estudiantes universitarios; Cuestionarios; Percepción; Profesionales

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.