Mapping of Cross-Lingual Emotional Topic Model Research Indexed in Scopus databases from 2000-2020

Abstract

The scientific research on Cross-Lingual Emotional Topic models (CLETM) saw rising interest over the years. This study aims to identify the publication trends and growth potential of CLETM studies which will offer a better understanding and potential future research directions using bibliometric tools. All published articles related to ‘Cross Lingual’ or ‘Emotional topic model’ from Scopus were identified and analyzed using Bibliometrix R-package and VOSviewer software. A total of 1,188 publications were identified from 2000 to 2020 published in 429 journals contributed by 2529 authors with a 2.22 collaboration Index and 2.13 authors per document. Lecture Notes in Computer Science are most sources of published papers with 120 articles, h-index 12. The most active country was China with (TNP=145) documents. National Natural Science Foundation of China was the leading organization engaged in CLETM research funding. Li H who is affiliated with the department of Electrical and Computer Engineering, National University of Singapore was the most active author with 17 articles and h-index 9. Tsinghua University is the top author’s affiliation with 30 articles. The findings of this study provide landmarks, baseline information on vital research productivity, and insights into the historical progressions of CLETM research