Text Analysis of Mobile Phones Online Reviews based on LDA Model

Min Jiang

2021

Abstract

With online shopping is becoming more and more frequent in our daily life, it will generate a large number of user online reviews. This paper used the LDA (Latent Dirichlet Allocation) model to extract the topic of three brands of mobile phone online reviews. We found that the focus of users’ attention is mainly on battery life, running speed, mobile phone appearance, and photograph effect. This work can increase data support for businesses to understand the needs of consumers, to provide targeted products and services, and also provide some suggestions for customers to purchase mobile phones.

Paper Citation

in Harvard Style

Jiang M. (2021). Text Analysis of Mobile Phones Online Reviews based on LDA Model. In Proceedings of the 1st International Conference on Public Management and Big Data Analysis - Volume 1: PMBDA, ISBN 978-989-758-589-0, pages 342-347. DOI: 10.5220/0011344600003437

in Bibtex Style

@conference{pmbda21,
author={Min Jiang},
title={Text Analysis of Mobile Phones Online Reviews based on LDA Model},
booktitle={Proceedings of the 1st International Conference on Public Management and Big Data Analysis - Volume 1: PMBDA,},
year={2021},
pages={342-347},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011344600003437},
isbn={978-989-758-589-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Public Management and Big Data Analysis - Volume 1: PMBDA,
TI - Text Analysis of Mobile Phones Online Reviews based on LDA Model
SN - 978-989-758-589-0
AU - Jiang M.
PY - 2021
SP - 342
EP - 347
DO - 10.5220/0011344600003437