期刊名称：TELKOMNIKA (Telecommunication Computing Electronics and Control)
印刷版ISSN：2302-9293
出版年度：2020
卷号：18
期号：2
页码：752-760
DOI：10.12928/telkomnika.v18i2.13912
出版社：Universitas Ahmad Dahlan
摘要：We propose a model for carrying out deep learning based multimodal sentiment analysis. The MOUD dataset is taken for experimentation purposes. We developed two parallel text based and audio basedmodels and further, fused these heterogeneous feature maps taken from intermediate layers to complete thearchitecture. Performance measures–Accuracy, precision, recall and F1-score–are observed to outperformthe existing models.
关键词：bimodal; CNN layers; MOUD; multimodal; word embeddings;
