download49 view86
twitter facebook

공공누리This item is licensed Korea Open Government License

An Exploratory Analysis of Online Discussion of Library and Information Science Professionals in India using Text Mining
Garg, MohitKanjilal, Uma
Korea Institute of Science and Technology Information
Publication Year
This paper aims to implement a topic modeling technique for extracting the topics of online discussions among library professionals in India. Topic modeling is the established text mining technique popularly used for modeling text data from Twitter, Facebook, Yelp, and other social media platforms. The present study modeled the online discussions of Library and Information Science (LIS) professionals posted on Lis Links. The text data of these posts was extracted using a program written in R using the package "rvest." The data was pre-processed to remove blank posts, posts having text in non-English fonts, punctuation, URLs, emails, etc. Topic modeling with the Latent Dirichlet Allocation algorithm was applied to the pre-processed corpus to identify each topic associated with the posts. The frequency analysis of the occurrence of words in the text corpus was calculated. The results found that the most frequent words included: library, information, university, librarian, book, professional, science, research, paper, question, answer, and management. This shows that the LIS professionals actively discussed exams, research, and library operations on the forum of Lis Links. The study categorized the online discussions on Lis Links into ten topics, i.e. "LIS Recruitment," "LIS Issues," "Other Discussion," "LIS Education," "LIS Research," "LIS Exams," "General Information related to Library," "LIS Admission," "Library and Professional Activities," and "Information Communication Technology (ICT)." It was found that the majority of the posts belonged to "LIS Exam," followed by "Other Discussions" and "General Information related to the Library."
discussion forum; Lis Links; text mining; topic modelling; Latent Dirichlet Allocation
Journal Title
Journal of Information Science Theory and Practice;Volume 10 Issue 3
Files in This Item:
Thumbnail An Exploratory Analysis of Online Discussion of Library and Information Science Professionals in India using Text Mining.pdf3.28 MBDownload
Appears in Collections:
8. KISTI 간행물 > JISTaP > Vol. 10 - No. 3
RIS (EndNote)
XLS (Excel)