Sentiment Analysis of Product Reviews on E-Commerce Platforms Based on NLP: Take HUAWEI P40 as an Example

Rui Yang, Yuzhu Xie, Jie Sun, Ling Ding, Zhemiao Zhang, Jianjun Wang

2022

Abstract

As the boom and popularity of e-commerce greatly influenced people’s consumption patterns and socio-economic structures, the study of product reviews has great significance for guiding purchases. Most of these product reviews are subjective and non-structural. Natural Language Processing (NLP) is an effective method to address communication between humans and computers. It is commonly used to convert unstructured language into structured language for computer recognition and processing to solve problems that are difficult to solve manually. In this paper, we put out the previous HUAWEI Mall reviews about HUAWEI P40 model mobile phone as the data source for natural language processing. And then, we use a CNN model based on the language of Python to perform sentiment analysis of consumers’ attitudes about this phone. The results illustrate that consumers’ concerns about the HUAWEI P40 phone are generally divided into the following categories: photography, battery life, communication, running speed, display effect and appearance, and their attitudes are generally positive and optimistic. In other word, the negative sentiment towards this phone is not significant.

Paper Citation

in Harvard Style

Yang R., Xie Y., Sun J., Ding L., Zhang Z. and Wang J. (2022). Sentiment Analysis of Product Reviews on E-Commerce Platforms Based on NLP: Take HUAWEI P40 as an Example . In Proceedings of the 1st International Conference on Public Management, Digital Economy and Internet Technology - Volume 1: ICPDI; ISBN 978-989-758-620-0, SciTePress, pages 802-806. DOI: 10.5220/0011768000003607

in Bibtex Style

@conference{icpdi22,
author={Rui Yang and Yuzhu Xie and Jie Sun and Ling Ding and Zhemiao Zhang and Jianjun Wang},
title={Sentiment Analysis of Product Reviews on E-Commerce Platforms Based on NLP: Take HUAWEI P40 as an Example },
booktitle={Proceedings of the 1st International Conference on Public Management, Digital Economy and Internet Technology - Volume 1: ICPDI},
year={2022},
pages={802-806},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011768000003607},
isbn={978-989-758-620-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Public Management, Digital Economy and Internet Technology - Volume 1: ICPDI
TI - Sentiment Analysis of Product Reviews on E-Commerce Platforms Based on NLP: Take HUAWEI P40 as an Example
SN - 978-989-758-620-0
AU - Yang R.
AU - Xie Y.
AU - Sun J.
AU - Ding L.
AU - Zhang Z.
AU - Wang J.
PY - 2022
SP - 802
EP - 806
DO - 10.5220/0011768000003607
PB - SciTePress