Toward a Semantic Graph of Scientific Publications: A Bibliometric Study

Abstract

The term "scientific publication" includes several types of scientific communications and digital broadcasts that scientific researchers make of their work towards their peers and an audience of specialists. These publications describe in detail the studies or experiments carried out and the conclusions drawn from them by the authors. They undergo an examination of the value of the results and the rigor of the scientific method used for the work carried out. In this paper we evaluated the quality of a scientific article on the subject (topic), based on its citations and where is it cited, we based on the Topic modeling theme with the choice of LDA algorithms applied to the corpus Nips for detecting all subjects of each paper and there citations in a first step then on the citations of each article of the corpus and on the Sentiment Analysis using a lexical based approaches. Then we created a csv file containing the link of each paper with the other cited papers (relation cited-citing), and finally generated a semantic graph between these publications.

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