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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control)
O. V. Ramana Murthy
Amrita Viswa Vidyapeetham
Computer Science & IT

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Sentiment analysis by deep learning approaches Sreevidya P.; O. V. Ramana Murthy; S. Veni
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 18, No 2: April 2020
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v18i2.13912

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.
Co-Authors S. Veni Sreevidya P.