Online review analysis on various networks' consumer feedback using deep learning

被引：2
作者：
Liu, Huajin [1 ]
机构：
[1] Zhejiang YueXiu Univ, Sch Network Commun, Shaoxing 312000, Peoples R China
来源：
IET NETWORKS | 2022年 / 11卷 / 06期
关键词：
computer networks; consumer feedback analysis; deep learning; edge computing; online review; sentimental analysis; SENTIMENT ANALYSIS; CLASSIFICATION;
D O I：
10.1049/ntw2.12045
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 order to understand the application of deep learning in consumer online review analysis, the text content of online review and the impact of national culture on it are studied. A consumer online comment analysis model based on deep learning is constructed and utilised using edge computing. With the online reviews of mobile phone and computer products as the case, the analysis is made. The data of online reviews on various network platforms is obtained. The model based on edge computing is used for analysis, and the results of product feature sentiment analysis are obtained. The results show that the deep learning model can achieve effective product feature extraction and high accuracy sentiment analysis, which is reasonable and effective in practical application.
引用
收藏
页码：234 / 244
页数：11
相关论文
共 50 条
  • [41] A Review on Community Detection Using Deep Neural Networks with Enhanced Learning
    Sikarwar, Ranjana
    Singh, Shashank Sheshar
    Shakya, Harish Kumar
    INTERNATIONAL CONFERENCE ON INNOVATIVE COMPUTING AND COMMUNICATIONS, ICICC 2022, VOL 1, 2023, 473 : 179 - 187
  • [42] A deep learning-based model using hybrid feature extraction approach for consumer sentiment analysis
    Gagandeep Kaur
    Amit Sharma
    Journal of Big Data, 10
  • [43] Application of Histopathology Image Analysis Using Deep Learning Networks
    Md Shamim Hossain
    Leisa J. Armstrong
    David M. Cook
    Pauline Zaenker
    Human-Centric Intelligent Systems, 2024, 4 (3): : 417 - 436
  • [44] Sentiment Analysis using Various Machine Learning Techniques: A Review
    Yadav P.
    Kathuria M.
    IEIE Transactions on Smart Processing and Computing, 2022, 11 (02) : 79 - 84
  • [45] A Review of Deep Learning on Medical Image Analysis
    Wang, Jian
    Zhu, Hengde
    Wang, Shui-Hua
    Zhang, Yu-Dong
    MOBILE NETWORKS & APPLICATIONS, 2021, 26 (01) : 351 - 380
  • [46] A review on deep learning in medical image analysis
    Suganyadevi, S.
    Seethalakshmi, V
    Balasamy, K.
    INTERNATIONAL JOURNAL OF MULTIMEDIA INFORMATION RETRIEVAL, 2022, 11 (01) : 19 - 38
  • [47] Deep Learning in Medical Ultrasound Analysis: A Review
    Liu, Shengfeng
    Wang, Yi
    Yang, Xin
    Lei, Baiying
    Liu, Li
    Li, Shawn Xiang
    Ni, Dong
    Wang, Tianfu
    ENGINEERING, 2019, 5 (02) : 261 - 275
  • [48] DeepFriend: finding abnormal nodes in online social networks using dynamic deep learning
    Wanda, Putra
    Jie, Huang J.
    SOCIAL NETWORK ANALYSIS AND MINING, 2021, 11 (01)
  • [49] Review Sentiment Analysis Based on Deep Learning
    Hu, Zhongkai
    Hu, Jianqing
    Ding, Weifeng
    Zheng, Xiaolin
    2015 IEEE 12TH INTERNATIONAL CONFERENCE ON E-BUSINESS ENGINEERING (ICEBE), 2015, : 87 - 94
  • [50] Online Performance Evaluation of Deep Learning Networks for Profiled Side-Channel Analysis
    Robissout, Damien
    Zaid, Gabriel
    Colombier, Brice
    Bossuet, Lilian
    Habrard, Amaury
    CONSTRUCTIVE SIDE-CHANNEL ANALYSIS AND SECURE DESIGN (COSADE 2020), 2021, 12244 : 200 - 218
12345