Sentiment analysis by deep learning approaches
Sreevidya; Amrita Viswa Vidyapeetham P.
O.; Amrita Viswa Vidyapeetham V. Ramana Murthy
S.; Amrita Viswa Vidyapeetham Veni
Telecommunication Computing Electronics and Control
Abstract
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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