Rule-Based Bibliographic Computer Science Indexing Review with COVID-19 Disease

Abstract

A researcher in conducting his research usually uses a search through the homepage of the publication, based on expertise, collaboration in research, and research interests. Today, the COVID-19 pandemic is becoming a trending topic for researchers from various scientific fields. The study classified the case based on publications located in the homepage sources such as Scopus, Crossref, IEEE Xplore, and Google Scholar, by analyzing the following topics, namely Artificial Intelligence, Data Mining, Deep Learning, Machine Learning and the Internet of Things by using Named Entity Recognition to detect and classify named entities in text and using occurence and link strength methods. Based on this study, the results were obtained that Scopus has the most equitable percentage, which has a good occurrence and link strength among the five scientific fields, namely Artificial Intelligence 33.33%, Machine Learning 15.38%, Deep Learning 23.08%, Data Mining 12.82% and IoT 15.38%. The second-best are Google Scholar, then IEEE Xplore, and Crossref.