JTAV: Jointly Learning Social Media Content Representation by Fusing Textual, Acoustic, and Visual Features

COLING 2018 Hongru LiangHaozheng WangJun WangShaodi YouZhe SunJin-Mao WeiZhenglu Yang

Learning social media content is the basis of many real-world applications, including information retrieval and recommendation systems, among others. In contrast with previous works that focus mainly on single modal or bi-modal learning, we propose to learn social media content by fusing jointly textual, acoustic, and visual information (JTAV)... (read more)

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