... or natural language processing (Neelakantan et al., 2014). In the literature, a variety of word embedding techniques based on neural networks have been proposed, such as continuous bag of words (CBOW), Skip-gram (Mikolov et al., 2013a , b), global vectors (GloVe) (Pennington et al...

.... Existing studies have not fully mined the information from accident reports. With the development of natural language processing (NLP), machine learning (ML) and deep learning (DL), emerging technologies provide technical support for challenges in text utilization. These technologies have demonstrated some...

...., 2023). 19 09 2023 09 11 2023 10 12 2023 © Emerald Publishing Limited 2023 Emerald Publishing Limited Licensed re-use rights only Emotion analysis Sentiment analysis COVID-19 Content analysis Natural language processing Advancements in Internet technologies...

... companies from 2011 to 2021 to analyze the role of the sole actual controller on innovation investment, as well as the moderating effect of cooperative culture in corporate annual reports using natural language processing. Findings The authors find that sole actual controllers promote corporate...

... in advancing natural language processing techniques and provides valuable insights into the nuances of biomedical language. Originality/value The study's findings demonstrate the importance of exploring contextual meanings and proposing new definitions of terms in the biomedical field to improve natural...

... technologies with promise as the basis of useful applications and profitable products in the AI-healthcare domain. Design/methodology/approach This study adopts a technology-driven technology roadmap approach, combined with natural language processing (NLP)-based patents analysis, to identify promising...