An Effective 3D Text Recurrent Voting Generator for Metaverse

Guest Editorial Neurosymbolic AI for Sentiment Analysis

“…All articles have been reviewed by at least three reviewers and handled by the guest editors, except for [11] and [12], which were handled independently by other Associate Editors of the journal. Among the selected articles, [11], [13], [14] belong to the first direction of interpretability and explainability; [12], [15], [16] belong to the second direction of injecting external knowledge into a neural model; finally, [17], [18], [19] belong to the third direction of migrating theory from reference disciplines.…”

“…To leverage a psychological theory, a new dataset for sentiments in Flicker images was created along with perceptions and evaluator's metadata (age, gender, socioeconomic status, education background, and psychological hints). [17], [18], [19] Automatic text summarization helps reduce the time of filtering large amounts of text. One challenge in text summarization is to capture long distance sentiment flows.…”

“…In [18], the authors tackle the challenge of a large volume of texts in the metaverse, which are very resource-consuming when it comes to emotion processing. A recurrent voting generator was proposed to analyze text in virtual reality using three different algorithmic modules.…”