@InProceedings{banerjee-EtAl:2017:I17-4,
  author    = {Banerjee, Somnath  and  Pakray, Partha  and  Manna, Riyanka  and  Das, Dipankar  and  Gelbukh, Alexander},
  title     = {NITMZ-JU at IJCNLP-2017 Task 4: Customer Feedback Analysis},
  booktitle = {Proceedings of the IJCNLP 2017, Shared Tasks},
  month     = {December},
  year      = {2017},
  address   = {Taipei, Taiwan},
  publisher = {Asian Federation of Natural Language Processing},
  pages     = {180--183},
  abstract  = {In this paper, we describe a deep learning framework for analyzing the customer
	feedback as part of our participation in the
	shared task on Customer Feedback Analysis at the 8th International Joint
	Conference on Natural Language Processing
	(IJCNLP 2017). A Convolutional Neural Network (CNN) based deep neural network
	model was employed for the customer feedback task. The proposed system
	was evaluated on two languages, namely,
	English and French.},
  url       = {http://www.aclweb.org/anthology/I17-4030}
}