메뉴 건너뛰기




Volumn 8, Issue 3, 2017, Pages

A convolution-LSTM-based deep neural network for cross-domain MOOC forum post classification

Author keywords

Classification; Cross domain; MOOC; Neural network; Transfer learning

Indexed keywords

CLASSIFICATION (OF INFORMATION); CONVOLUTION; DEEP LEARNING; DEEP NEURAL NETWORKS; LONG SHORT-TERM MEMORY; NEURAL NETWORKS; SEMANTICS;

EID: 85026450273     PISSN: None     EISSN: 20782489     Source Type: Journal    
DOI: 10.3390/info8030092     Document Type: Article
Times cited : (86)

References (49)
  • 1
    • 85054172418 scopus 로고    scopus 로고
    • Monetization Over Massiveness: Breaking Down MOOCs by the Numbers in 2016
    • EdSurge. Available online: (accessed on 25 July 2017).
    • Shah, D. Monetization Over Massiveness: Breaking Down MOOCs by the Numbers in 2016. EdSurge. Available online: https://www.edsurge.com/ (accessed on 25 July 2017).
    • Shah, D.1
  • 2
    • 84938659818 scopus 로고    scopus 로고
    • Language independent analysis and classification of discussion threads in Coursera MOOC forums
    • Redwood City, CA, USA, 13-15 August
    • Rossi, L.A.; Gnawali, O. Language independent analysis and classification of discussion threads in Coursera MOOC forums. In Proceedings of the Information Reuse and Integration, Redwood City, CA, USA, 13-15 August 2014; pp. 654-661.
    • (2014) In Proceedings of the Information Reuse and Integration , pp. 654-661
    • Rossi, L.A.1    Gnawali, O.2
  • 3
    • 84970021252 scopus 로고    scopus 로고
    • Towards Cross-domain MOOC Forum Post Classification
    • In Proceedings of the LatS: ACM Conference on Learning at Scale, Edinburgh, Scotland, UK, 25-26 April
    • Bakharia, A. Towards Cross-domain MOOC Forum Post Classification. In Proceedings of the LatS: ACM Conference on Learning at Scale, Edinburgh, Scotland, UK, 25-26 April 2016; pp. 253-256.
    • (2016) , pp. 253-256
    • Bakharia, A.1
  • 5
    • 0038739693 scopus 로고    scopus 로고
    • Speech and Language Processing: An Introduction to Natural Language Processing
    • 1st ed.; Prentice Hall: Upper Saddle River, NJ, USA,
    • Jurafsky, D.; Martin, J.H. Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition, 1st ed.; Prentice Hall: Upper Saddle River, NJ, USA, 2000; pp. 1-1024.
    • (2000) Computational Linguistics, and Speech Recognition , pp. 1-1024
    • Jurafsky, D.1    Martin, J.H.2
  • 6
    • 0032203257 scopus 로고    scopus 로고
    • Gradient-based learning applied to document recognition
    • LeCun, Y.; Bottou, L.; Bengio, Y.; Haffner, P. Gradient-based learning applied to document recognition. Proc. IEEE 1998, 86, 2278-2324.
    • (1998) Proc. IEEE , vol.86 , pp. 2278-2324
    • LeCun, Y.1    Bottou, L.2    Bengio, Y.3    Haffner, P.4
  • 12
    • 84952038445 scopus 로고    scopus 로고
    • Sentiment recognition of online course reviews using multi-swarm optimization-based selected features
    • Liu, Z.; Liu, S.; Liu, L.; Sun, J.; Peng, X.; Wang, T. Sentiment recognition of online course reviews using multi-swarm optimization-based selected features. Neurocomputing 2016, 185, 11-20.
    • (2016) Neurocomputing , vol.185 , pp. 11-20
    • Liu, Z.1    Liu, S.2    Liu, L.3    Sun, J.4    Peng, X.5    Wang, T.6
  • 24
    • 84958526478 scopus 로고    scopus 로고
    • Improving deep neural network performance by reusing features trained with transductive transference
    • A conference of the European Neural Network Society, Hamburg, Germany, 15-19 September
    • Kandaswamy, C.; Silva, L.M.; Alexandre, L.A.; Santos, J.M.; de Sá, J.M. Improving deep neural network performance by reusing features trained with transductive transference. In Proceedings of the International Conference on Artificial Neural Networks. A conference of the European Neural Network Society, Hamburg, Germany, 15-19 September 2014; pp. 265-272.
    • (2014) In Proceedings of the International Conference on Artificial Neural Networks , pp. 265-272
    • Kandaswamy, C.1    Silva, L.M.2    Alexandre, L.A.3    Santos, J.M.4    de Sá, J.M.5
  • 26
    • 84960392256 scopus 로고    scopus 로고
    • Heterogeneous defect prediction. In Proceedings of the European Software Engineering Conference and the ACM SIGSOFT Symposium on the Foundations of Software Engineering
    • Bergamo, Italy, August-4 September
    • Nam, J.; Kim, S. Heterogeneous defect prediction. In Proceedings of the European Software Engineering Conference and the ACM SIGSOFT Symposium on the Foundations of Software Engineering, Bergamo, Italy, August-4 September 2015; pp. 508-519.
    • (2015) , pp. 508-519
    • Nam, J.1    Kim, S.2
  • 27
    • 84890527497 scopus 로고    scopus 로고
    • Cross-language knowledge transfer using multilingual deep neural network with shared hidden layers
    • Speech and Signal Processing, Vancouver, BC, Canada, 26-31 May
    • Huang, J.T.; Li, J.Y.; Yu, D.; Deng, L.; Gong, Y.F. Cross-language knowledge transfer using multilingual deep neural network with shared hidden layers. In Proceedings of the International Conference on Acoustics, Speech and Signal Processing, Vancouver, BC, Canada, 26-31 May 2013; pp. 7304-7308.
    • (2013) In Proceedings of the International Conference on Acoustics , pp. 7304-7308
    • Huang, J.T.1    Li, J.Y.2    Yu, D.3    Deng, L.4    Gong, Y.F.5
  • 30
    • 84962374573 scopus 로고    scopus 로고
    • Cross-Domain Sentiment Classification Using Sentiment Sensitive Embeddings
    • Bollegala, D.; Mu, T.; Goulermas, J.Y. Cross-Domain Sentiment Classification Using Sentiment Sensitive Embeddings. IEEE Trans. Knowl. Data Eng. 2016, 28, 398-410.
    • (2016) IEEE Trans. Knowl. Data Eng. , vol.28 , pp. 398-410
    • Bollegala, D.1    Mu, T.2    Goulermas, J.Y.3
  • 31
    • 84884134119 scopus 로고    scopus 로고
    • Feature ensemble plus sample selection: Domain adaptation for sentiment classification
    • Xia, R.; Zong, C.; Hu, X.; Cambria, E. Feature ensemble plus sample selection: Domain adaptation for sentiment classification. Intell. Syst. 2013, 28, 10-18.
    • (2013) Intell. Syst. , vol.28 , pp. 10-18
    • Xia, R.1    Zong, C.2    Hu, X.3    Cambria, E.4
  • 33
    • 85026486982 scopus 로고    scopus 로고
    • Knowledge-based document embedding for cross-domain text classification
    • In Proceedings of the International Joint Conference on Neural Networks, Anchorage, AK, USA, 14-19 May
    • Li, Y.; Wei, B.; Yao, L.; Chen, H.; Li, Z. Knowledge-based document embedding for cross-domain text classification. In Proceedings of the International Joint Conference on Neural Networks, Anchorage, AK, USA, 14-19 May 2017; pp. 1395-1402.
    • (2017) , pp. 1395-1402
    • Li, Y.1    Wei, B.2    Yao, L.3    Chen, H.4    Li, Z.5
  • 34
    • 85011824693 scopus 로고    scopus 로고
    • Cross-domain Text Classification with Multiple Domains and Disparate Label Sets
    • Berlin, Germany, 7-12 August
    • Bhatt, H.S.; Sinha, M.; Roy, S. Cross-domain Text Classification with Multiple Domains and Disparate Label Sets. In Proceedings of the Association for Computational Linguistics, Berlin, Germany, 7-12 August 2016; pp. 1641-1650.
    • (2016) In Proceedings of the Association for Computational Linguistics , pp. 1641-1650
    • Bhatt, H.S.1    Sinha, M.2    Roy, S.3
  • 37
    • 84926155931 scopus 로고    scopus 로고
    • Transfer learning using computational intelligence: A survey
    • Lu, J.; Behbood, V.; Hao, P.; Xue, S.; Zhang, G. Transfer learning using computational intelligence: A survey. Knowl. Based Syst. 2015, 80, 14-23.
    • (2015) Knowl. Based Syst. , vol.80 , pp. 14-23
    • Lu, J.1    Behbood, V.2    Hao, P.3    Xue, S.4    Zhang, G.5
  • 40
    • 85026476846 scopus 로고    scopus 로고
    • Low-Resource cross-Domain product review sentiment classification based on a CNN with an auxiliary large-Scale corpus
    • Wei, X.C.; Lin, H.F.; Yu, Y.H.; Yang, L. Low-Resource cross-Domain product review sentiment classification based on a CNN with an auxiliary large-Scale corpus. Algorithms. 2017, 10, 81.
    • (2017) Algorithms. , vol.10 , pp. 81
    • Wei, X.C.1    Lin, H.F.2    Yu, Y.H.3    Yang, L.4
  • 41
    • 80053443013 scopus 로고    scopus 로고
    • Domain adaptation for large-scale sentiment classification: A deep learning approach
    • Bellevue, WA, USA, June-2 July 2011
    • Glorot, X.; Bordes, A.; Bengio, Y. Domain adaptation for large-scale sentiment classification: A deep learning approach. In Proceedings of the International Conference on Machine Learning, Bellevue, WA, USA, June-2 July 2011; pp. 513-520.
    • In Proceedings of the International Conference on Machine Learning , pp. 513-520
    • Glorot, X.1    Bordes, A.2    Bengio, Y.3
  • 42
    • 84904548965 scopus 로고    scopus 로고
    • Deep learning of representations for unsupervised and transfer learning
    • Edinburgh, Scotland, UK, 26 June-1 July
    • Bengio, Y. Deep learning of representations for unsupervised and transfer learning. In Proceedings of the International Conference on Machine Learning, Edinburgh, Scotland, UK, 26 June-1 July 2012; pp. 17-36.
    • (2012) In Proceedings of the International Conference on Machine Learning , pp. 17-36
    • Bengio, Y.1
  • 44
    • 84949810391 scopus 로고    scopus 로고
    • Incorporating domain and sentiment supervision in representation learning for domain adaptation
    • Buenos Aires, Argentina, 25-31 July
    • Liu, B.; Huang, M.; Sun, J.; Zhu, X. Incorporating domain and sentiment supervision in representation learning for domain adaptation. In Proceedings of the International Congress On Artificial Intelligence, Buenos Aires, Argentina, 25-31 July 2015; pp. 1277-1283.
    • (2015) In Proceedings of the International Congress On Artificial Intelligence , pp. 1277-1283
    • Liu, B.1    Huang, M.2    Sun, J.3    Zhu, X.4
  • 48
    • 85026438833 scopus 로고    scopus 로고
    • Available online: (accessed on 17 March 2012).
    • The Stanford MOOCPosts Data Set. Available online: http://datastage.stanford.edu/StanfordMoocPosts/ (accessed on 17 March 2012).
  • 49
    • 85060115598 scopus 로고    scopus 로고
    • Available online: (accessed on 25 July 2017).
    • Keras, C.F. GitHub. Available online: http://github.com/fchollet/keras (accessed on 25 July 2017).
    • GitHub
    • Keras, C.F.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.