Abstract: Multimodal sentiment analysis has garnered significant attention for capturing and comprehending human emotions more authentically and comprehensively, multimodal sentiment analysis has ...
Multimodal sentiment analysis (MSA) is primarily used to detect the sentiment contained in different modalities. Existing research has overlooked the multi-scale information of image within multimodal ...
Taking a page from market research tactics, UC San Francisco experts are studying whether artificial intelligence (AI) can improve diagnosis of a complex liver condition by using the clinical notes of ...
In a recent interview on Thoughtful Money, famed economist David Rosenberg stated that the percentage of the U.S. economy currently expanding—when weighted by population—is only 18%. In other words, ...
Jeremy has more than 2200 published articles on Collider to his name, and has been writing for the site since February 2022. He's an omnivore when it comes to his movie-watching diet, so will gladly ...
Have you ever wondered how businesses sift through mountains of customer feedback to uncover what truly matters? Imagine receiving hundreds, if not thousands, of product reviews, emails, or survey ...
Multimodal sentiment analysis (MSA) is an emerging technology that seeks to digitally automate extraction and prediction of human sentiments from text, audio, and video. With advances in deep learning ...
This paper introduces a classification framework to analyze central bank communications across four dimensions: topic, communication stance, sentiment, and audience. Using a fine-tuned large language ...
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