{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Science Tech Brief By HackerNoon","title":"Multilevel Profiling of Situation and Dialogue-based Deep Networks: Proposed Methodology","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/1ca7e976\"></iframe>","width":"100%","height":180,"duration":611,"description":"\n        This story was originally published on HackerNoon at: https://hackernoon.com/multilevel-profiling-of-situation-and-dialogue-based-deep-networks-proposed-methodology.\n             In this paper, researchers propose a multi-modality framework for movie genre classification, utilizing situation, dialogue, and metadata features. \n            Check more stories related to science at: https://hackernoon.com/c/science.\n            You can also check exclusive content about #movie-genre-classification, #convolutional-neural-network, #english-movie-trailer-dataset, #multimodal-data-analysis, #affective-content-analysis, #cognitive-content-analysis, #video-analysis, #lmtd-9-dataset,  and more.\n            \n            \n            This story was written by: @kinetograph. Learn more about this writer by checking @kinetograph's about page,\n            and for more stories, please visit hackernoon.com.\n            \n                \n                \n                In this paper, researchers propose a multi-modality framework for movie genre classification, utilizing situation, dialogue, and metadata features.\n        \n        ","thumbnail_url":"https://img.transistorcdn.com/S66fL9skYMhlajDauLWqBH_bXds_u8JsPbvAZlh45OA/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9zaG93/LzQxMjczLzE2ODM1/ODI0MjQtYXJ0d29y/ay5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}