Significance of DNN-AM for Multimodal Sentiment Analysis

@inproceedings{Abburi2017SignificanceOD,
  title={Significance of DNN-AM for Multimodal Sentiment Analysis},
  author={Harika Abburi and Rajendra Prasath and Manish Shrivastava and Suryakanth V. Gangashetty},
  booktitle={MIKE},
  year={2017}
}
The furtherance of social media led people to share the reviews in various ways such as video, audio and text. Recently, the performance of sentiment classification is achieved success using neural networks. In this paper, neural network approach is presented to detect the sentiment from audio and text models. For audio, features like Mel Frequency Cepstral Coefficients (MFCC) are used to build Deep Neural Network (DNN) and Deep Neural Network Attention Mechanism (DNNAM) classifiers. From the… CONTINUE READING

Topics from this paper.

Similar Papers