An effective approach for emotion detection in multimedia text data using sequence based convolutional neural network

作者: Kush Shrivastava , Shishir Kumar , Deepak Kumar Jain

DOI: 10.1007/S11042-019-07813-9

关键词:

摘要: … Several issues for emotion detection from multimedia images & … (CNN) with word embedding to detect the emotions. An … an overview of the wider public opinion behind certain topics. …

参考文章(79)
Stan Szpakowicz, Diana Inkpen, Diman Ghazi, Hierarchical versus Flat Classification of Emotions in Text north american chapter of the association for computational linguistics. pp. 140- 146 ,(2010)
V. Raghavan, Mysore Hiriyanna, The number of rasas Central Library, Visva-bharati. ,(1940)
Saima Aman, Stan Szpakowicz, Identifying expressions of emotion in text text speech and dialogue. pp. 196- 205 ,(2007) , 10.1007/978-3-540-74628-7_27
Anssi Peräkylä, Marja-Leena Sorjonen, Emotion in Interaction ,(2012)
Yoshua Bengio, Yoshua Bengio, Yoshua Bengio, Yann LeCun, Convolutional networks for images, speech, and time series The handbook of brain theory and neural networks. pp. 255- 258 ,(1998)
Dennis Hamester, Pablo Barros, Stefan Wermter, Face expression recognition with a 2-channel Convolutional Neural Network international joint conference on neural network. pp. 1- 8 ,(2015) , 10.1109/IJCNN.2015.7280539
Geoffrey E. Hinton, Vinod Nair, Rectified Linear Units Improve Restricted Boltzmann Machines international conference on machine learning. pp. 807- 814 ,(2010)
Yoon Kim, Convolutional Neural Networks for Sentence Classification empirical methods in natural language processing. pp. 1746- 1751 ,(2014) , 10.3115/V1/D14-1181
Ilya Sutskever, Geoffrey E. Hinton, Alex Krizhevsky, Ruslan R. Salakhutdinov, Nitish Srivastava, Improving neural networks by preventing co-adaptation of feature detectors arXiv: Neural and Evolutionary Computing. ,(2012)
Andre Teixeira Lopes, Edilson de Aguiar, Thiago Oliveira-Santos, A Facial Expression Recognition System Using Convolutional Networks brazilian symposium on computer graphics and image processing. pp. 273- 280 ,(2015) , 10.1109/SIBGRAPI.2015.14