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

Vílchez-Román, Carlos and Alhuay-Quispe, Joel Use of text mining for understanding Peruvian students and faculties’ perceptions on bibliometrics training., 2016 . In 3rd Annual International Symposium on Information Management and Big Data, Cusco, Perú, 1-3 September, 2016. [Conference paper]

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English abstract

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.

Item type: Conference paper
Keywords: Bibliometrics; Text Mining; Perception; Library Professionals; Surveys
Subjects: A. Theoretical and general aspects of libraries and information. > AA. Library and information science as a field.
B. Information use and sociology of information > BB. Bibliometric methods
G. Industry, profession and education. > GI. Training.
L. Information technology and library technology > LL. Automated language processing.
Depositing user: Joel Alhuay Quispe
Date deposited: 07 Feb 2020 15:09
Last modified: 07 Feb 2020 15:09
URI: http://hdl.handle.net/10760/39564

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