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        <title>NITMZ-JU at IJCNLP-2017 Task 4: Customer Feedback Analysis</title>
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    <name type="personal">
        <namePart type="given">Somnath</namePart>
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    <name type="personal">
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        <namePart type="family">Manna</namePart>
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    <name type="personal">
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            <namePart type="given">Nianwen</namePart>
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    <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.</abstract>
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%0 Conference Proceedings
%T NITMZ-JU at IJCNLP-2017 Task 4: Customer Feedback Analysis
%A Banerjee, Somnath
%A Pakray, Partha
%A Manna, Riyanka
%A Das, Dipankar
%A Gelbukh, Alexander
%Y Liu, Chao-Hong
%Y Nakov, Preslav
%Y Xue, Nianwen
%S Proceedings of the IJCNLP 2017, Shared Tasks
%D 2017
%8 December
%I Asian Federation of Natural Language Processing
%C Taipei, Taiwan
%F banerjee-etal-2017-nitmz
%X 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.
%U https://aclanthology.org/I17-4030
%P 180-183

Markdown (Informal)

[NITMZ-JU at IJCNLP-2017 Task 4: Customer Feedback Analysis](https://aclanthology.org/I17-4030) (Banerjee et al., IJCNLP 2017)

• NITMZ-JU at IJCNLP-2017 Task 4: Customer Feedback Analysis (Banerjee et al., IJCNLP 2017)

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.