GDL

Journal from gdlhub / 2021-01-20 15:18:14
Oleh : Sreevidya P., O. V. Ramana Murthy, S. Veni, Telkomnika
Dibuat : 2021-01-08, dengan 1 file

Keyword : bimodal; CNN layers; MOUD; multimodal; word embeddings;
Url : http://journal.uad.ac.id/index.php/TELKOMNIKA/article/view/13912
Sumber pengambilan dokumen : web

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.

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