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

2017-12-01 · IJCNLP 2017 12 · Somnath Banerjee, Partha Pakray, Riyanka Manna, Dipankar Das, Alex Gelbukh, er

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.

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Text Classification

IJCNLP-2017 Task 4: Customer Feedback Analysis

2017-12-01 · IJCNLP 2017 12 · Chao-Hong Liu, Yasufumi Moriya, Alberto Poncelas, Declan Groves

This document introduces the IJCNLP 2017 Shared Task on Customer Feedback Analysis. In this shared task we have prepared corpora of customer feedback in four languages, i.e. English, French, Spanish and Japanese. They we…

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The ability to automatically and accurately process customer feedback is a necessity in the private sector. Unfortunately, customer feedback can be one of the most difficult types of data to work with due to the sheer vo…

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