Publication Type : Journal Article
Publisher : TELKOMNIKA Telecommunication
Source : TELKOMNIKA Telecommunication, Computing, Electronics and Control, Volume 18 (2020)
Url : https://core.ac.uk/download/pdf/295537534.pdf
Campus : Coimbatore
School : School of Engineering
Department : Electronics and Communication
Year : 2020
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
Cite this Research Publication : S. P., Murthy, O. V. Ramana, and S. Veni, “Sentiment Analysis by Deep Learning Approaches”, TELKOMNIKA Telecommunication, Computing, Electronics and Control, vol. 18, 2 vol., 2020.