A topic modeling‐based bibliometric exploration of automatic summarization research
Xieling Chen,
Haoran Xie,
Xiaohui Tao
et al.
Abstract:The surge in text data has driven extensive research into developing diverse automatic summarization approaches to effectively handle vast textual information. There are several reviews on this topic, yet no large‐scale analysis based on quantitative approaches has been conducted. To provide a comprehensive overview of the field, this study conducted a bibliometric analysis of 3108 papers published from 2010 to 2022, focusing on automatic summarization research regarding topics and trends, top sources, countri… Show more
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