A parallel neural network structure for sentiment classification of MOOCs discussion forums

[1]  Dongho Kim,et al.  The influence of instructional design on learner control, sense of achievement, and perceived effectiveness in a supersize MOOC course , 2019, Comput. Educ..

[2]  Aditya Johri,et al.  Needle in a haystack: Identifying learner posts that require urgent response in MOOC discussion forums , 2018, Comput. Educ..

[3]  Madhavi Devaraj,et al.  Analytical mapping of opinion mining and sentiment analysis research during 2000-2015 , 2017, Inf. Process. Manag..

[4]  Sara McNeil,et al.  Students' patterns of engagement and course performance in a Massive Open Online Course , 2016, Comput. Educ..

[5]  Christopher D. Manning,et al.  Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks , 2015, ACL.

[6]  Charles R. Graham,et al.  Blended learning in higher education: Institutional adoption and implementation , 2014, Comput. Educ..

[7]  Pascal Vincent,et al.  Representation Learning: A Review and New Perspectives , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[8]  Yoshua Bengio,et al.  Neural Probabilistic Language Models , 2006 .

[9]  Janyce Wiebe,et al.  Recognizing Contextual Polarity in Phrase-Level Sentiment Analysis , 2005, HLT.

[10]  Jim Moshinskie,et al.  How To Keep E-Learners from E-Scaping , 2001 .

[11]  Yoshua Bengio,et al.  A Neural Probabilistic Language Model , 2003, J. Mach. Learn. Res..

[12]  Yoshua Bengio,et al.  Gradient-based learning applied to document recognition , 1998, Proc. IEEE.

[13]  Jürgen Schmidhuber,et al.  Long Short-Term Memory , 1997, Neural Computation.

[14]  Jeffrey L. Elman,et al.  Finding Structure in Time , 1990, Cogn. Sci..