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

Carlos Vílchez-Román, Joel Alhuay-Quispe

Resultado de la investigación: Contribución a una conferenciaArtículo de conferencia

1 Cita (Scopus)

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 terMEXt 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 openedended questions, and contributes with a quantitative approach to analyzing people's opinions.
Idioma originalInglés estadounidense
Páginas165-169
Número de páginas5
EstadoPublicada - 1 ene 2016
EventoCEUR Workshop Proceedings -
Duración: 1 ene 2016 → …

Conferencia

ConferenciaCEUR Workshop Proceedings
Período1/01/16 → …

    Huella digital

Citar esto

Vílchez-Román, C., & Alhuay-Quispe, J. (2016). Use of text mining for understanding Peruvian students and faculties' perceptions on bibliometrics training. 165-169. Papel presentado en CEUR Workshop Proceedings, .