Research on sentic computing has received intensive attention in recent years, as indicated by the increased availability of academic literature. However, despite the growth in literature and researchers’ interests, there are no reviews on this topic. This study comprehensively explores the current research progress and tendencies, particularly the thematic structure of sentic computing, to provide insights into the issues addressed during the past decade and the potential future of sentic computing. We combined bibliometric analysis and structural topic modeling to examine sentic computing literature in various aspects, including the tendency of annual article count, top journals, countries/regions, institutions, and authors, the scientific collaborations between major contributors, as well as the major topics and their tendencies. We obtained interesting and meaningful findings. For example, sentic computing has attracted growing interest in academia. In addition, Cognitive Computation and Nanyang Technological University were found to be the most productive journal and institution in publishing sentic computing studies, respectively. Moreover, important issues such as cyber issues and public opinion, deep neural networks and personality, financial applications and user profiles, and affective and emotional computing have been commonly addressed by authors focusing on sentic computing. Our study provides a thorough overview of sentic computing, reveals major concerns among scholars during the past decade, and offers insights into the future directions of sentic computing research.

正如学术文献的日益普及所表明的那样，近年来，对情感计算的研究受到了广泛的关注。但是，尽管文学和研究人员的兴趣在增长，但对此主题尚无任何评论。这项研究全面探讨了当前的研究进展和趋势，尤其是感觉计算的主题结构，以提供对过去十年中解决的问题以及感觉计算的潜在未来的见解。我们结合了文献计量分析和结构主题建模，从各个方面检查了情感计算文学，包括年度文章数趋势，顶级期刊，国家/地区，机构和作者，主要贡献者之间的科学合作以及主要主题及其趋势。我们获得了有趣而有意义的发现。例如，情感计算在学术界引起了越来越多的兴趣。此外，认知计算和南洋理工大学分别是出版情感计算研究中效率最高的期刊和机构。此外，专注于情感计算的作者通常会解决诸如网络问题和舆论，深度神经网络和人格，财务应用和用户配置文件以及情感和情感计算等重要问题。我们的研究提供了对情感计算的全面概述，揭示了过去十年来学者之间的主要关注，并提供了对情感计算研究的未来方向的见解。