Knowledge Discovery on Scopus
نویسندگان
چکیده
Scopus is a well known repository of metadata about scientific research articles. In this work, we gather data from this repository to create a social graph of scientific authors, starting from citations among their articles. Moreover, using data mining techniques, we infer some relevant research topics for each author, from the textual analysis of the abstracts of his articles. As a case study, we have limited our research to the authors who have published at least one article about Sentiment Analysis, in a decade. Starting from the more relevant terms extracted from abstracts, we then perform a clusterization of users. This shows the emergence of some subtopics of Sentiment Analysis, which are studied by distinct groups of authors.
منابع مشابه
Designing an Ontology for Knowledge Discovery in Iran’s Vaccine
Ontology is a requirement engineering product and the key to knowledge discovery. It includes the terminology to describe a set of facts, assumptions, and relations with which the detailed meanings of vocabularies among communities can be determined. This is a qualitative content analysis research. This study has made use of ontology for the first time to discover the knowledge of vaccine in Ir...
متن کاملبررسی کاربردهای داده کاوی در نظام سلامت
Introduction: Extensive amounts of data stored in medical databases require the development of specialized tools for accessing the data, data analysis, knowledge discovery, and the effective use of the data. Data mining is one of the most important methods. The article sketches the used Data Mining techniques, and illustrates their applicability to medical diagnostic and prognostic problems. ...
متن کاملKnowledge discovery from patients’ behavior via clustering-classification algorithms based on weighted eRFM and CLV model: An empirical study in public health care services
The rapid growing of information technology (IT) motivates and makes competitive advantages in health care industry. Nowadays, many hospitals try to build a successful customer relationship management (CRM) to recognize target and potential patients, increase patient loyalty and satisfaction and finally maximize their profitability. Many hospitals have large data warehouses containing customer ...
متن کاملCitation Discovery Tools for Conducting Adaptive Meta-analyses to Update Systematic Reviews.
OBJECTIVES The systematic review (SR) is a research methodology that aims to synthesize related evidence. Updating previously conducted SRs is necessary when new evidence has been produced, but no consensus has yet emerged on the appropriate update methodology. The authors have developed a new SR update method called 'adaptive meta-analysis' (AMA) using the 'cited by', 'similar articles', and '...
متن کاملKnowledge discovery from patients’ behavior via clustering-classification algorithms based on weighted eRFM and CLV model: An empirical study in public health care services
The rapid growing of information technology (IT) motivates and makes competitive advantages in health care industry. Nowadays, many hospitals try to build a successful customer relationship management (CRM) to recognize target and potential patients, increase patient loyalty and satisfaction and finally maximize their profitability. Many hospitals have large data warehouses containing customer ...
متن کامل