SentiNLP at IJCNLP-2017 Task 4: Customer Feedback Analysis Using a Bi-LSTM-CNN Model
نویسندگان
چکیده
Analysis of customer feedback helps improve customer service. Much online customer feedback takes the form of online reviews, but the tremendous volume of such data makes manual classification impractical, raising the need for automatic classification to allow analysis systems to identify meanings or intentions expressed by customers. The aim of shared Task 4 of IJCNLP 2017 is to classify customer feedback into six tags. We present a system that uses word embeddings to express features of the sentence in the corpus, using the neural network as the classifier to complete the shared task. The ensemble method is then used to obtain a final predictive result. The proposed method ranked first among twelve submissions in terms of microaveraged F1 and second for accuracy.
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