An Efficient Model for Sentiment Analysis of Electronic Product Reviews in Vietnamese
Computation and Language
2019-10-30 v1 Information Retrieval
Machine Learning
Abstract
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.
Keywords
Cite
@article{arxiv.1910.13162,
title = {An Efficient Model for Sentiment Analysis of Electronic Product Reviews in Vietnamese},
author = {Suong N. Hoang and Linh V. Nguyen and Tai Huynh and Vuong T. Pham},
journal= {arXiv preprint arXiv:1910.13162},
year = {2019}
}