The Research of Text Classification Technology Based on Improved Maximum Entropy Model

被引：2
|
作者：
Yin, Chunyong [1 ]
Xi, Jinwen [1 ]
Wang, Jin [1 ]
机构：
[1] Nanjing Univ Informat Sci & Technol, Jiangsu Key Lab Meteorol Observat & Informat Proc, Jiangsu Engn Ctr Network Monitoring, Sch Comp & Software, Nanjing, Jiangsu, Peoples R China
来源：
2015 FIRST INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE THEORY, SYSTEMS AND APPLICATIONS (CCITSA 2015) | 2015年
基金：
中国国家自然科学基金;
关键词：
text categorization; maximum entropy models; pretreatment; feature selection;
D O I：
10.1109/CCITSA.2015.12
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, it studies the Techniques of Text Categorization based on maximum entropy models, and gives technical solutions for the network through improved technology, which contains a large number of documents. This paper describes an method based on improved maximum entropy model for text classification, a features selection method and pretreatment methods, the experimental results with good accuracy and recall, has played a certain role for large amounts of text, to meet the requirements of practical application.
引用
收藏
页码：142 / 145
页数：4
相关论文
共 50 条
  • [41] Research on Chinese News Text Classification Based on ERNIE Model
    Zhang, Wenxu
    PROCEEDINGS OF THE WORLD CONFERENCE ON INTELLIGENT AND 3-D TECHNOLOGIES, WCI3DT 2022, 2023, 323 : 89 - 100
  • [42] Research on Application of Emergency Text Classification Based on Combination Model
    Lyu, Long
    Song, Yinghua
    Liu, Dan
    3RD ANNUAL INTERNATIONAL CONFERENCE ON CLOUD TECHNOLOGY AND COMMUNICATION ENGINEERING, 2020, 719
  • [43] Text Classification Research Based on Bert Model and Bayesian Network
    Liu, Songsong
    Tao, Haijun
    Feng, Shiling
    2019 CHINESE AUTOMATION CONGRESS (CAC2019), 2019, : 5842 - 5846
  • [44] Improved maximum entropy language model and its application
    Li, Juanzi
    Huang, Changning
    Ruan Jian Xue Bao/Journal of Software, 1999, 10 (03): : 257 - 263
  • [45] An Improved Semantic Entropy Maximum Model and Its Applications
    Li, Munan
    2009 IEEE INTERNATIONAL CONFERENCE ON AUTOMATION AND LOGISTICS ( ICAL 2009), VOLS 1-3, 2009, : 305 - 308
  • [46] An improved feature representation method for maximum entropy model
    Yi, Guan
    Jian, Zhao
    ICDM 2006: SIXTH IEEE INTERNATIONAL CONFERENCE ON DATA MINING, WORKSHOPS, 2006, : 400 - +
  • [47] Text Classification Research Based on Improved Word2vec and CNN
    Gao, Mengyuan
    Li, Tinghui
    Huang, Peifang
    SERVICE-ORIENTED COMPUTING, ICSOC 2018, 2019, 11434 : 126 - 135
  • [48] The Webpage Classification Research of Maximum Entropy Basing on Knowledge Tree
    Jiang, Zuo
    Tong, Li
    Liao, HongZhi
    Zhao, Na
    Fu, ZhiTao
    ADVANCES IN ENERGY SCIENCE AND TECHNOLOGY, PTS 1-4, 2013, 291-294 : 2853 - +
  • [49] A Modified Markov-Based Maximum-Entropy Model for POS Tagging of Odia Text
    Pattnaik, Sagarika
    Nayak, Ajit Kumar
    INTERNATIONAL JOURNAL OF DECISION SUPPORT SYSTEM TECHNOLOGY, 2022, 14 (01)
  • [50] Using Hidden Markov model for identifying secure text of public opinion based on maximum entropy
    Ji, Dongya
    Zhang, Rui
    Journal of Computational Information Systems, 2010, 6 (09): : 2967 - 2974
12345