MATEC Web Conf.
Volume 100, 201713th Global Congress on Manufacturing and Management (GCMM 2016)
|Number of page(s)||6|
|Section||Part 2: Internet +, Big data and Flexible manufacturing|
|Published online||08 March 2017|
Application of text mining in library book procurement
Ding Cong Library, Jinan University, Guangzhou, China
With the diversification of readers’ preferences, the continuous growth of book price and the shortage fund for purchasing books, it becomes increasingly important to explore reads’ real needs and spend limited money on those needed books. In this context, Chinese Word Segmentation technology combined with Chinese Library Classification are used to explore readers’ reading preferences by using news, management and finance disciplines’ borrowing data of Jinan University in the year of 2015. Results showed that readers showed remarkable preferences for books of a specific subcategory or theme. Meanwhile the hot borrowed books often gathered in a few core publishing house, with the core publishing house books accounting for 70%, 63% and 76% of the total sampling books for news, management and finance discipline respectively. All in all, this research is of great significance for the book procurement job of the high school library.
Key words: Book procurement / Book borrow / Chinese Library Classification / Chinese word segmentation
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.