Visual and Text Sentiment Analysis through Hierarchical Deep Learning Networks

Discover cutting-edge research in "Visual and Text Sentiment Analysis through Hierarchical Deep Learning Networks" by Arindam Chaudhuri, published by Springer Verlag in 2019. This insightful paperback, spanning 98 pages, explores the innovative application of hierarchical deep learning techniques for multi-modal sentiment analysis. As social multimedia content continues to grow, the need for effective sentiment analysis becomes increasingly vital. This book delves into advanced visual and textual sentiment analysis methods, offering a comprehensive approach to joint visual-textual sentiment evaluation. Ideal for researchers and practitioners in the field, this publication provides valuable insights into leveraging state-of-the-art techniques for understanding sentiments in diverse media. Enhance your knowledge and stay ahead in the rapidly evolving landscape of sentiment analysis with this essential read.