APPLICATION OF CONVOLUTIONAL NEURAL NETWORK (CNN) IN MICROBLOG TEXT CLASSIFICATION

被引：0
|
作者：
Wang, Xiaoming [1 ]
Li, Jianping [1 ]
Liu, Yifei [1 ]
机构：
[1] Univ Elect Sci & Technol China, Sch Comp Sci & Engn, Chengdu 611731, Sichuan, Peoples R China
来源：
2018 15TH INTERNATIONAL COMPUTER CONFERENCE ON WAVELET ACTIVE MEDIA TECHNOLOGY AND INFORMATION PROCESSING (ICCWAMTIP) | 2018年
基金：
国家高技术研究发展计划(863计划); 中国国家自然科学基金;
关键词：
Weibo; Public opinion; Convolutional neural network; Classification;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
At present, Weibo has become the main platform of lyric fermentation in China. On this platform, Chinese people can discuss many major events, so it is very necessary to monitor the grievances on Weibo in time. This paper aims to classify and monitor Weibo public opinion through Convolutional Neural Network (CNN). Firstly, the data is cleaned up and a vocabulary is built. Then the model of the convolutional neural network is built, including the embedding layer, the convolution layer, the pooling layer and the fully connected layer. Finally, the data is predicted and classified by the Softmax function. The experimental results show that the model can effectively classify and predict the Weibo public opinion, which is a certain improvement compared with the traditional machine learning algorithm.
引用
收藏
页码：127 / 130
页数：4
相关论文
共 50 条
  • [1] Text Feature Extraction and Classification Based on Convolutional Neural Network (CNN)
    Zhang, Taohong
    Li, Cunfang
    Cao, Nuan
    Ma, Rui
    Zhang, ShaoHua
    Ma, Nan
    [J]. DATA SCIENCE, PT 1, 2017, 727 : 472 - 485
  • [2] Application of Improved Convolutional Neural Network in Text Classification
    Ronghui, Liu
    Xinhong, Wei
    [J]. IAENG International Journal of Computer Science, 2022, 49 (03)
  • [3] Application of Convexified Convolutional Neural Network in Text Classification
    Bian, Yuanchong
    Li, Chang
    Wang, Bincheng
    Zhang, Xingjian
    [J]. 2021 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS AND COMPUTER ENGINEERING (ICCECE), 2021, : 296 - 300
  • [4] Application of an Improved Convolutional Neural Network Algorithm in Text Classification
    Peng, Jing
    Huo, Shuquan
    [J]. JOURNAL OF WEB ENGINEERING, 2024, 23 (03): : 315 - 340
  • [5] Set-CNN: A text convolutional neural network based on semantic extension for short text classification
    Zhou, Yajian
    Li, Jiale
    Chi, Junhui
    Tang, Wei
    Zheng, Yuqi
    [J]. KNOWLEDGE-BASED SYSTEMS, 2022, 257
  • [6] Transformable Convolutional Neural Network for Text Classification
    Xiao, Liqiang
    Zhang, Honglun
    Chen, Wenqing
    Wang, Yongkun
    Jin, Yaohui
    [J]. PROCEEDINGS OF THE TWENTY-SEVENTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2018, : 4496 - 4502
  • [7] Comparative effectiveness of convolutional neural network (CNN) and recurrent neural network (RNN) architectures for radiology text report classification
    Banerjee, Imon
    Ling, Yuan
    Chen, Matthew C.
    Hasan, Sadid A.
    Langlotz, Curtis P.
    Moradzadeh, Nathaniel
    Chapman, Brian
    Amrhein, Timothy
    Mong, David
    Rubin, Daniel L.
    Farri, Oladimeji
    Lungren, Matthew P.
    [J]. ARTIFICIAL INTELLIGENCE IN MEDICINE, 2019, 97 : 79 - 88
  • [8] Convolutional Neural Network (CNN) for Gland Images Classification
    Haryanto, Toto
    Wasito, Ito
    Suhartanto, Heru
    [J]. PROCEEDINGS OF 2017 11TH INTERNATIONAL CONFERENCE ON INFORMATION & COMMUNICATION TECHNOLOGY AND SYSTEMS (ICTS), 2017, : 55 - 60
  • [9] Fault Text Classification Based on Convolutional Neural Network
    Wang, Lixia
    Zhang, Botao
    [J]. 2020 IEEE 7TH INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND APPLICATIONS (ICIEA 2020), 2020, : 937 - 941
  • [10] Encrypted Application Classification with Convolutional Neural Network
    Yang, Kun
    Xu, Lu
    Xu, Yang
    Chao, Jonathan
    [J]. 2020 IFIP NETWORKING CONFERENCE AND WORKSHOPS (NETWORKING), 2020, : 499 - 503
12345