Sentiment analysis in textual, visual and multimodal inputs using recurrent neural networks
作者： Jitendra V. Tembhurne , Tausif Diwan
DOI: 10.1007/S11042-020-10037-X
关键词:
摘要: Social networking platforms have witnessed tremendous growth of textual, visual, audio, and mix-mode contents for expressing the views or opinions. Henceforth, Sentiment Analysis …
springer.com
sci-hub.st 参考文章(145)
Yoshua Bengio, Aaron C. Courville, Pascal Vincent, Unsupervised Feature Learning and Deep Learning: A Review and New Perspectives ,(2012)
Joeran Beel, Bela Gipp, Stefan Langer, Corinna Breitinger, Research-paper recommender systems: a literature survey International Journal on Digital Libraries. ,vol. 17, pp. 305- 338 ,(2016) , 10.1007/S00799-015-0156-0
Yafeng Lu, Xia Hu, Feng Wang, Shamanth Kumar, Huan Liu, Ross Maciejewski, Visualizing Social Media Sentiment in Disaster Scenarios the web conference. pp. 1211- 1215 ,(2015) , 10.1145/2740908.2741720
Xing Fang, Justin Zhan, Sentiment analysis using product review data Journal of Big Data. ,vol. 2, pp. 5- ,(2015) , 10.1186/S40537-015-0015-2
Madhavi Devaraj, Rajesh Piryani, Vivek Kumar Singh, Lexicon Ensemble and Lexicon Pooling for Sentiment Polarity Detection IETE Technical Review. ,vol. 33, pp. 332- 340 ,(2016) , 10.1080/02564602.2015.1073572
Çaglar Gülçehre, Yoshua Bengio, Yoshua Bengio, Yoshua Bengio, KyungHyun Cho, Junyoung Chung, Empirical evaluation of gated recurrent neural networks on sequence modeling arXiv: Neural and Evolutionary Computing. ,(2014)
Ming Liang, Xiaolin Hu, Recurrent convolutional neural network for object recognition computer vision and pattern recognition. pp. 3367- 3375 ,(2015) , 10.1109/CVPR.2015.7298958
Jeff Donahue, Lisa Anne Hendricks, Sergio Guadarrama, Marcus Rohrbach, Subhashini Venugopalan, Trevor Darrell, Kate Saenko, Long-term recurrent convolutional networks for visual recognition and description computer vision and pattern recognition. pp. 2625- 2634 ,(2015) , 10.1109/CVPR.2015.7298878
Jungang Xu, Hui Li, Shilong Zhou, An Overview of Deep Generative Models IETE Technical Review. ,vol. 32, pp. 131- 139 ,(2015) , 10.1080/02564602.2014.987328
S.L Ho, M Xie, T.N Goh, A comparative study of neural network and Box-Jenkins ARIMA modeling in time series prediction annual conference on computers. ,vol. 42, pp. 371- 375 ,(2002) , 10.1016/S0360-8352(02)00036-0