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- Title
Next Generation Data Analytics: Text Mining in Library Practice and Research.
- Authors
Arshad, Muhammad; Khan, Amjid; Ahmad, Pervaiz; Shah, Nadia Abbas
- Abstract
Text mining is the process and technique used for searching, retrieving and extracting high quality, useful and purposeful information from the ocean of unst ructured and unclassi fied data and informat ion in the form of text written in natural language. It is also refer red to as text engineering, text data mining or text analyt ics. Text mining is an emerging field of research. The purpose of this paper is to review text mining in general and with special context to library and informat ion science. Text mining involves artificial intelligence. Hence, this system is very efficient in its work as compared to human capabilities in terms of time const raints and the counts of frequency which involves accuracy. This field has many prospects to offer and in the context of the library and informat ion science. This technique can be very helpful in managing ever-growing and proliferat ing information in every field of knowledge. Moreover, this technique can also be used for research in the field of LIS. Researchers and librarians may find it useful to put efforts in this field for being bet ter adapted to future. This review is useful for the mot ivation of LIS researchers to involve in text mining aimed at cont ribut ing new knowledge to the improvement of library profession and services. Since text mining is an emerging field in research, less literature is available part icularly related to library and informat ion science.
- Subjects
TEXT mining; LIBRARY research; DATA mining; SPECIAL libraries; LIBRARY science
- Publication
Library Philosophy & Practice, 2020, p1
- ISSN
1522-0222
- Publication type
Article