1 |
LeCun, Yann, Yoshua Bengio, and Geoffrey Hinton. "Deep learning.", Nature 521.7553, (2015): 436-444.
DOI
|
2 |
Bengio, Yoshua, Aaron Courville, and Pascal Vincent. "Representation learning: A review and new perspectives.", IEEE transactions on pattern analysis and machine intelligence 35.8, (2013): 1798-1828.
DOI
|
3 |
Schmidhuber, Jürgen. "Deep learning in neural networks: An overview.", Neural Networks 61, (2015): 85-117.
DOI
|
4 |
Silver, David, et al. "Mastering the game of Go with deep neural networks and tree search.", Nature 529.7587, (2016): 484-489.
DOI
|
5 |
Taigman, Yaniv, et al. "Deepface: Closing the gap to human-level performance in face verification.", Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, (2014).
|
6 |
Russakovsky, Olga, et al. "Imagenet large scale visual recognition challenge.", International Journal of Computer Vision 115.3, (2015): 211-252.
DOI
|
7 |
Hinton, Geoffrey, et al. "Deep neural networks for acoustic modeling in speech recognition: The shared views of four research groups.", IEEE Signal Processing Magazine 29.6, (2012): 82-97.
DOI
|
8 |
Graves, Alex, Abdel-rahman Mohamed, and Geoffrey Hinton. "Speech recognition with deep recurrent neural networks.", 2013 IEEE international conference on acoustics, speech and signal processing. IEEE, (2013).
|
9 |
Weston, Jason, et al. "Towards ai-complete question answering: A set of prerequisite toy tasks.", arXiv preprint arXiv:1502.05698, (2015).
|
10 |
Bahdanau, Dzmitry, Kyunghyun Cho, and Yoshua Bengio. "Neural machine translation by jointly learning to align and translate.", arXiv preprint arXiv:1409.0473, (2014).
|
11 |
Cho, Kyunghyun, et al. "Learning phrase representations using RNN encoder-decoder for statistical machine translation.", arXiv preprint arXiv:1406.1078, (2014).
|
12 |
Tarasov, D. S. "Deep recurrent neural networks for multiple language aspect-based sentiment analysis of user reviews.", Proceedings of International Conference of Computational Linguistics and Intellectual Technologies Dialog-2015. Vol. 2, (2015).
|
13 |
Irsoy, Ozan, and Claire Cardie. "Opinion Mining with Deep Recurrent Neural Networks.", EMNLP, (2014).
|
14 |
Tai, Kai Sheng, Richard Socher, and Christopher D. Manning. "Improved semantic representations from tree-structured long short-term memory networks.", arXiv preprint arXiv:1503.00075, (2015).
|
15 |
Tang, Duyu, et al. "Target-Dependent Sentiment Classification with Long Short Term Memory.", arXiv preprint arXiv:1512.01100, (2015).
|
16 |
Tang, Duyu, Bing Qin, and Ting Liu. "Document modeling with gated recurrent neural network for sentiment classification.", Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, (2015).
|
17 |
Socher, Richard, et al. "Recursive deep models for semantic compositionality over a sentiment treebank.", Proceedings of the conference on empirical methods in natural language processing (EMNLP) . Vol. 1631, (2013).
|
18 |
Kim, Yoon. "Convolutional neural networks for sentence classification.", arXiv preprint arXiv:1408.5882, (2014).
|
19 |
dos Santos, Cícero Nogueira, and Maira Gatti. "Deep Convolutional Neural Networks for Sentiment Analysis of Short Texts.", COLING, (2014).
|
20 |
Zhou, Shusen, Qingcai Chen, and Xiaolong Wang. "Active deep learning method for semi-supervised sentiment classification.", Neurocomputing 120, (2013): 536-546.
DOI
|
21 |
Lai, Siwei, et al. "Recurrent Convolutional Neural Networks for Text Classification.", AAAI, (2015).
|
22 |
Liu, Bing. "Sentiment analysis and opinion mining.", Synthesis lectures on human language technologies 5.1, (2012): 1-167.
DOI
|
23 |
Wang, Hao, et al. "A system for real-time twitter sentiment analysis of 2012 us presidential election cycle.", Proceedings of the ACL 2012 System Demonstrations. Association for Computational Linguistics, (2012).
|
24 |
Nakov, Preslav, et al. "SemEval-2016 task 4: Sentiment analysis in Twitter.", Proceedings of the 10th international workshop on semantic evaluation (SemEval 2016), San Diego, US (forthcoming), (2016).
|
25 |
Ding, Xiaowen, Bing Liu, and Philip S. Yu. "A holistic lexicon-based approach to opinion mining.", Proceedings of the 2008 international conference on web search and data mining. ACM, (2008).
|
26 |
Taboada, Maite, et al. "Lexicon-based methods for sentiment analysis.", Computational linguistics 37.2, (2011): 267-307.
DOI
|
27 |
Tan, Songbo, et al. "Adapting naive bayes to domain adaptation for sentiment analysis.", European Conference on Information Retrieval. Springer Berlin Heidelberg, (2009).
|
28 |
Mullen, Tony, and Nigel Collier. "Sentiment Analysis using Support Vector Machines with Diverse Information Sources.", EMNLP. Vol. 4. (2004).
|
29 |
Dang, Shilpa, and Peerzada Hamid Ahmad. "Text Mining: Techniques and its Application.", International Journal of Engineering & Technology Innovations, ISSN (Online), (2014): 2348-0866.
|
30 |
Dang, Dr Shilpa, and Peerzada Hamid Ahmad. "A Review of Text Mining Techniques Associated with Various Application Areas.", International Journal of Science and Research (IJSR) 4.2, (2015): 2461-2466.
DOI
|
31 |
Medhat, Walaa, Ahmed Hassan, and Hoda Korashy. "Sentiment analysis algorithms and applications: A survey.", Ain Shams Engineering Journal 5.4, (2014): 1093-1113.
DOI
|
32 |
Baccianella, Stefano, Andrea Esuli, and Fabrizio Sebastiani. "SentiWordNet 3.0: An Enhanced Lexical Resource for Sentiment Analysis and Opinion Mining.", LREC. Vol. 10, (2010).
|
33 |
An, Jungkook, and Hee-Woong Kim. "Building a Korean Sen.timent Lexicon Using Collective Intelligence.", Journal of Intelligence and Information Systems 21.2, (2015): 49-67.
DOI
|
34 |
Pang, Bo, Lillian Lee, and Shivakumar Vaithyanathan. "Thumbs up?: sentiment classification using machine learning techniques.", Proceedings of the ACL-02 conference on Empirical methods in natural language processing- Volume 10. Association for Computational Linguistics, (2002).
|
35 |
Blitzer, John, Mark Dredze, and Fernando Pereira. "Biographies, bollywood, boom-boxes and blenders: Domain adaptation for sentiment classification.", ACL. Vol. 7, (2007).
|
36 |
Glorot, Xavier, Antoine Bordes, and Yoshua Bengio. "Domain adaptation for large-scale sentiment classification: A deep learning approach.", Proceedings of the 28th International Conference on Machine Learning(ICML-11) , (2011).
|
37 |
Rumelhart, David E., Geoffrey E. Hinton, and Ronald J. Williams. "Learning internal representations by error propagation.", No. ICS-8506. CALIFORNIA UNIV SAN DIEGO LA JOLLA INST FOR COGNITIVE SCIENCE, (1985).
|
38 |
Hawkins, Douglas M. "The problem of overfitting.", Journal of chemical information and computer sciences 44.1, (2004): 1-12.
DOI
|
39 |
LeCun, Yann, et al. "Gradient-based learning applied to document recognition.", Proceedings of the IEEE 86.11, (1998): 2278-2324.
DOI
|
40 |
Krizhevsky, Alex, Ilya Sutskever, and Geoffrey E. Hinton. "Imagenet classification with deep convolutional neural networks.", Advances in neural information processing systems, (2012).
|
41 |
Hinton, Geoffrey E., Simon Osindero, and Yee-Whye Teh. "A fast learning algorithm for deep belief nets.", Neural computation 18.7, (2006): 1527-1554.
DOI
|
42 |
Hinton, Geoffrey E. "A practical guide to training restricted boltzmann machines.", Neural Networks: Tricks of the Trade. Springer Berlin Heidelberg, (2012): 599-619.
|
43 |
Liu, Ping, et al. "Facial expression recognition via a boosted deep belief network.", Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, (2014).
|
44 |
Deoras, Anoop, and Ruhi Sarikaya. "Deep belief network based semantic taggers for spoken language understanding.", INTERSPEECH, (2013).
|
45 |
Elman, Jeffrey L. "Finding structure in time.", Cognitive science 14.2, (1990): 179-211.
DOI
|
46 |
Mikolov, Tomas, et al. "Recurrent neural network based language model.", Interspeech. Vol. 2, (2010).
|
47 |
Bengio, Yoshua, et al. "A neural probabilistic language model.", journal of machine learning research 3.Feb, (2003): 1137-1155.
|
48 |
Mikolov, T., and J. Dean. "Distributed repre-sentations of words and phrases and their compositionality.", Advances in neural information processing systems, (2013).
|
49 |
Mikolov, Tomas, et al. "Efficient estimation of word representations in vector space.", arXiv preprint arXiv:1301.3781, (2013).
|
50 |
Werbos, Paul J. "Backpropagation through time: what it does and how to do it.", Proceedings of the IEEE 78.10, (1990): 1550-1560.
DOI
|
51 |
Socher, Richard, et al. "Semantic compositionality through recursive matrix-vector spaces.", Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning. Association for Computational Linguistics, (2012).
|
52 |
Hochreiter, Sepp, and Jürgen Schmidhuber. "Long short-term memory.", Neural computation 9.8, (1997): 1735-1780.
DOI
|
53 |
Graves, Alex. "Long Short-Term Memory.", Supervised Sequence Labelling with Recurrent Neural Networks. Springer Berlin Heidelberg, (2012): 37-45.
|
54 |
Greff, Klaus, et al. "LSTM: A search space odyssey.", arXiv preprint arXiv:1503.04069, (2015).
|
55 |
http://nlp.stanford.edu/sentiment/treebank.html
|
56 |
Collobert, Ronan, and Jason Weston. "A unified architecture for natural language processing: Deep neural networks with multitask learning.", Proceedings of the 25th international conference on Machine learning. ACM, (2008).
|