NITMZ-JU at IJCNLP-2017 Task 4: Customer Feedback Analysis

Somnath Banerjee, Partha Pakray, Riyanka Manna, Dipankar Das, Alexander Gelbukh


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.
Anthology ID:
I17-4030
Volume:
Proceedings of the IJCNLP 2017, Shared Tasks
Month:
December
Year:
2017
Address:
Taipei, Taiwan
Venue:
IJCNLP
SIG:
Publisher:
Asian Federation of Natural Language Processing
Note:
Pages:
180–183
Language:
URL:
https://aclanthology.org/I17-4030
DOI:
Bibkey:
Cite (ACL):
Somnath Banerjee, Partha Pakray, Riyanka Manna, Dipankar Das, and Alexander Gelbukh. 2017. NITMZ-JU at IJCNLP-2017 Task 4: Customer Feedback Analysis. In Proceedings of the IJCNLP 2017, Shared Tasks, pages 180–183, Taipei, Taiwan. Asian Federation of Natural Language Processing.
Cite (Informal):
NITMZ-JU at IJCNLP-2017 Task 4: Customer Feedback Analysis (Banerjee et al., IJCNLP 2017)
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PDF:
https://aclanthology.org/I17-4030.pdf