A Survey of Sentiment Analysis Based on Product Review

Yu-Chen Wei
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引用次数: 1

Abstract

Sentiment analysis (SA) is becoming more and more irreplaceable when we talk about recommendation or analyze guest's preference. Sentiment classification gives prediction ratings or classifying the emotion into two or more poles. We are now looking forward to perfect the precision of the prediction of models. Nowadays, with the development of neural network, deep learning has been broadly used in sentiment analysis. In this paper, we survey large number of papers concerning sentiment classification with deep learning. We propose a new venue to make a division of all the models into 6 kinds. Moreover, we make a comparison of these results of models and draw a conclusion.
基于产品评论的情感分析研究综述
在进行推荐或分析顾客偏好时,情感分析的作用越来越不可替代。情绪分类给出预测评级或将情绪分为两个或多个极点。我们现在期待着完善模型预测的精度。如今,随着神经网络的发展,深度学习在情感分析中得到了广泛的应用。在本文中,我们调查了大量关于深度学习的情感分类的论文。我们建议一个新的场地,将所有的模型划分为6种。并对这些模型的结果进行了比较,得出结论。
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