Sentiment analysis by deep learning approaches

Sreevidya P. (Amrita Viswa Vidyapeetham)
O. V. Ramana Murthy (Amrita Viswa Vidyapeetham)
S. Veni (Amrita Viswa Vidyapeetham)

TELKOMNIKA (Telecommunication Computing Electronics and Control)
Vol 18, No 2: April 2020

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.