Optimizing the provision of archival material services based on the design and application of the book locator tool

The main purpose of the present research was to investigate thematic relationships in the topics of resources used by RICeST users, using text mining techniques. Therefore, it has been attempted to reflect how the thematic relationships are in the information resources of users in the RICeST Center, in order to gain access to the required materials through understanding the behavior and feelings of users and clients.

The research method was based on text mining, which refers to data mining on the text, and text analysis in order to extract quality information from the text. Information access to the full text of articles in scientific-research, scientific-promotional journals, collections of scientific conference and conference articles, English and Persian books formed the statistical population of the research, and all the data obtained from the reporting by RICeST were checked using the census method. Data analysis and text analysis was done by Vianet software, and Python software was used to clean and normalize the data.

In order to determine the main view of the most used topics by RICeST users, based on the findings from the obtained data, 21 frequent words (used more than 2000 times in the RICeST database in a two-year interval 2018/02/08 – 2020/02/08).

the conclusion was based on the fact that the compilation of the research in the collection of electronic resources of information databases and foresight in the future of this category of resources is useful to the managers of information centers and their users.