Sentiment Prediction for User Comments on Home Appliances Products

Tao, Ye and Shi, Cao and Xu, Canhui and Hou, Ruichun and Xu, Zhifang (2020) Sentiment Prediction for User Comments on Home Appliances Products. In: Mobimedia 2020, 27-28 August 2020, Cyberspace.

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Subjective information in products reviews play vital role in home appliances manufacturing industry. Generally, the comments are trusted worthy since we assume the customers will not make false ones. But in fact, there are cases that ratings and comments are not matched for some products. This paper proposed an approach to detect improper ratings by classifying and predicting the corresponding sentiment expressions in text reviews. To evaluate the effectiveness of the proposed method, we conducted experiments on a dataset which consists of customer reviews in 14 models of home appliances made by Haier. Results show that the sentiment polarity of the reviews can be predicted accurately, and the proposed method can be applied to detect and prevent a product from false rating.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: sentiment analysis product review continuous vector model
Subjects: Q Science > QA Mathematics > QA76 Computer software
Depositing User: EAI Editor I.
Date Deposited: 04 Feb 2021 14:21
Last Modified: 04 Feb 2021 14:21

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