Overlap Analysis of Interface Elements in the Representation of Textual Documents: A Study Using the "Rapid Automatic Key phrase Extraction Algorithm"

The present study investigated the degree of overlap of keywords extracted from interface elements in the representation of text documents using the "Rapid Automatic Keyphrase Extraction Algorithm." In this research, the "Rapid Automatic Keyphrase Extraction Algorithm" was used.Keywords were extracted from a dataset including 500 scientific articles in five different subject groups. Then, the overlap between the keywords of the title, abstract, and keywords of the authors was examined. The results showed that the overlap between title keywords and authors' keywords was about 45%, and the overlap between abstract keywords and authors' keywords was about 18%. Further, it was observed that the keywords of the title covered 22% of the keywords of the abstract. The results also showed that the overlap and dispersion between the keywords of the abstract and the keywords of the authors and between the keywords of the abstract and the keywords of the title were balanced and almost the same. However, it was observed that the keywords of the title and the keywords of the authors were more scattered, which indicates the possibility of more overlap between the keywords of the title and the keywords of the author of an article compared to the keywords of the abstract and the keywords of the author, as well as the keywords of the abstract and the keywords of the title. Is. In addition, there was a good understanding of the concepts and topics of the research field in the fields of psychology and public administration, while the need to improve and strengthen the knowledge of concepts was observed in the fields of information technology and public law. The amount of overlap between abstract keywords and authors' keywords in five subject groups was about 20%. Appropriate use of keywords, writing abstracts with content in harmony with the topic and choosing suitable titles can help to improve the process of extracting concepts, storing and retrieving scientific articles, including that keywords, abstracts and titles can be used as input for algorithms for extracting concepts, as well As parts of the information storage structure, they can contribute significantly to the speed of users' access to the information they need and as input for information retrieval algorithms for quick access to related articles.