TEXT CLASSIFICATION AND CLUSTER ANALYSIS BASED ON DEEP LEARNING AND NATURAL LANGUAGE PROCESSING

被引：0
作者：
HUANG H.U.A. [1 ]
机构：
[1] School of Computer and Artificial Intelligence, Henan Finance University, Henan, Zhengzhou
来源：
Scalable Computing | 2024年 / 25卷 / 03期
关键词：
Deep belief network; Deep Boltzmann machine network; Deep learning; Text classification;
D O I：
10.12694/SCPE.V25I3.2742
中图分类号：
学科分类号：
摘要：
At present, the commonly used Bag of Words (BOW) expression ignores the semantic information of text and the problems of high dimension and high sparsity of feature extraction. This paper presents a multi-class text representation and classification algorithm. This project is based on the vector expression of keywords and takes the multi-category classification problem as the research object. Then, a hybrid Deep Location network (HDBN) is constructed by combining DBN with Boltzmann (DBM). Then, this paper does a lot of tests on the algorithm and proves the effectiveness of the algorithm. In addition, the 2D visual experiment is carried out with HDBN, and then the high-level text expression based on HDBN is obtained. The expression has strong cohesion and weak coupling. © 2024 SCPE.
引用
收藏
页码：1826 / 1832
页数：6
相关论文
共 50 条
  • [11] Deep Learning for Natural Language Processing and Language Modelling
    Klosowski, Piotr
    2018 SIGNAL PROCESSING: ALGORITHMS, ARCHITECTURES, ARRANGEMENTS, AND APPLICATIONS (SPA), 2018, : 223 - 228
  • [12] Deep Learning Methods in Natural Language Processing
    Flores, Alexis Stalin Alulema
    APPLIED TECHNOLOGIES (ICAT 2019), PT II, 2020, 1194 : 92 - 107
  • [13] Deep Learning on Graphs for Natural Language Processing
    Wu, Lingfei
    Chen, Yu
    Ji, Heng
    Liu, Bang
    SIGIR '21 - PROCEEDINGS OF THE 44TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL, 2021, : 2651 - 2653
  • [14] Deep Learning on Graphs for Natural Language Processing
    Wu, Lingfei
    Chen, Yu
    Ji, Heng
    Liu, Bang
    KDD '21: PROCEEDINGS OF THE 27TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY & DATA MINING, 2021, : 4084 - 4085
  • [15] Deep Learning Techniques for Natural Language Processing
    Rodzin, Sergey
    Bova, Victoria
    Kravchenko, Yury
    Rodzina, Lada
    ARTIFICIAL INTELLIGENCE TRENDS IN SYSTEMS, VOL 2, 2022, 502 : 121 - 130
  • [16] Analysis of news sentiments using natural language processing and deep learning
    Vicari, Mattia
    Gaspari, Mauro
    AI & SOCIETY, 2021, 36 (03) : 931 - 937
  • [17] Analysis of news sentiments using natural language processing and deep learning
    Mattia Vicari
    Mauro Gaspari
    AI & SOCIETY, 2021, 36 : 931 - 937
  • [18] An Analysis of Early Use of Deep Learning Terms in Natural Language Processing
    Basic, B. Dalbelo
    di Buono, M. P.
    2020 43RD INTERNATIONAL CONVENTION ON INFORMATION, COMMUNICATION AND ELECTRONIC TECHNOLOGY (MIPRO 2020), 2020, : 1125 - 1129
  • [19] Enhancing extractive text summarization using natural language processing with an optimal deep learning model
    Hassan, Abdulkhaleq Q. A.
    Al-onazi, Badriyya B.
    Maashi, Mashael
    Darem, Abdulbasit A.
    Abunadi, Ibrahim
    Mahmud, Ahmed
    AIMS MATHEMATICS, 2024, 9 (05): : 12588 - 12609
  • [20] Comparative Analysis of Deep Learning Models for Myanmar Text Classification
    Phyu, Myat Sapal
    Nwet, Khin Thandar
    INTELLIGENT INFORMATION AND DATABASE SYSTEMS (ACIIDS 2020), PT I, 2020, 12033 : 76 - 85
12345