Advancements in Natural Language Processing, Semantic Networks, and Sentiment Analysis

Dear Colleagues,

The recent advancements in deep learning models and the availability of multi-modal data online have motivated the necessity to develop new natural language processing techniques. Pre-trained language models and large language models constitute representative examples. Accordingly, this Special Issue on "Advancements in Natural Language Processing, Semantic Networks, and Sentiment Analysis" welcomes contributions to these advanced techniques with particular attention to the management of semantic knowledge (e.g., sentiment analysis and emotion detection applications) in multidisciplinary-use cases of artificial intelligence (e.g., smart health services). It provides an opportunity to advance the generative artificial intelligence literature for academia, the industry, and the general public. Thus, the call is open for theoretical and practical applications of research trends to inspire innovation in this field. Recommended topics include, but are not limited to, the following: advanced sentiment analysis and emotion detection techniques, applications of generative artificial intelligence (e.g., pre-trained language models and large language models), machine learning models in batch and streaming operations, the study of semantic knowledge management and representation (e.g., semantic networks), etc.

Dr. Silvia García-Méndez
Dr. Enrique Costa-Montenegro
Dr. Francisco De Arriba-Pérez
Guest Editors

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