Comparative Study of Deep Learning-Based Sentiment Classification

Comparative Study of Deep Learning-Based Sentiment Classification

The purpose of sentiment classification is to determine whether a particular document has a positive or negative nuance. Sentiment classification is extensively used in many business domains to improve products or services by understanding the opinions of customers regarding these products. Deep lea...

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Bibliographic Details
Main Authors: Seungwan Seo, Czangyeob Kim, Haedong Kim, Kyounghyun Mo, Pilsung Kang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Sentiment classification
deep learning
convolutional neural network
recurrent neural network
word embedding
character embedding
Online Access:https://ieeexplore.ieee.org/document/8948030/
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