An Efficient Model for Sentiment Analysis of Electronic Product Reviews in Vietnamese

被引：3

作者：

Suong N Hoang ^{[1
,2
]}

Linh V Nguyen ^{[1
]}

Tai Huynh ^{[1
,2
]}

Vuong T Pham ^{[1
,3
]}

机构：

[1] Kyanon Digital, Ho Chi Minh City, Vietnam

[2] Advosights, Ho Chi Minh City, Vietnam

[3] Saigon Univ, Ho Chi Minh City, Vietnam

来源：

FUTURE DATA AND SECURITY ENGINEERING (FDSE 2019) | 2019年 / 11814卷

关键词：

Vietnamese; Sentiment analysis; Electronics product review;

D O I：

10.1007/978-3-030-35653-8_10

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In the past few years, the growth of e-commerce and digital marketing in Vietnam has generated a huge volume of opinionated data. Analyzing those data would provide enterprises with insight for better business decisions. In this work, as part of the Advosights project, we study sentiment analysis of product reviews in Vietnamese. The final solution is based on Self-attention neural networks, a flexible architecture for text classification task with about 90.16% of accuracy in 0.0124 second, a very fast inference time.

引用

页码：132 / 142

页数：11

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