BriefGPT.xyz
Feb, 2020
基于门控机制的多模态情感分析
Gated Mechanism for Attention Based Multimodal Sentiment Analysis
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Ayush Kumar, Jithendra Vepa
TL;DR
本文讨论了多模态情感分析的三个方面:跨模态交互学习、多模态交互中的长期依赖性学习和一元和跨模态线索的融合,发现学习跨模态交互对解决该问题很有益。在两个基准数据集(CMU-MOSI和CMU-MOSEI语料库)上进行实验,取得了83.9%和81.1%的准确率,分别比当前最先进技术提高了1.6%和1.34%的绝对精度。
Abstract
multimodal sentiment analysis
has recently gained popularity because of its relevance to social media posts, customer service calls and video blogs. In this paper, we address three aspects of
multimodal sentiment analys
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