A comparative study of feature selection and machine learning algorithms for arabic sentiment classification

被引:22
|
作者
Omar, Nazlia [1 ]
Albared, Mohammed [1 ]
Al-Moslmi, Tareq [1 ]
Al-Shabi, Adel [1 ]
机构
[1] School of Computer Science, Universiti Kebangsaan Malaysia, Bangi,Selangor, Malaysia
关键词
Feature Selection;
D O I
10.1007/978-3-319-12844-3_37
中图分类号
学科分类号
摘要
引用
收藏
页码:429 / 443
相关论文
共 50 条
  • [1] A Comparative Study of Feature Selection and Machine Learning Algorithms for Arabic Sentiment Classification
    Omar, Nazlia
    Albared, Mohammed
    Al-Moslmi, Tareq
    Al-Shabi, Adel
    INFORMATION RETRIEVAL TECHNOLOGY, AIRS 2014, 2014, 8870 : 429 - 443
  • [2] Study on Feature Selection and Machine Learning Algorithms For Malay Sentiment Classification
    Alsaffar, Ahmed
    Omar, Nazlia
    PROCEEDINGS OF THE 2014 6TH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND MULTIMEDIA (ICIM), 2014, : 270 - 275
  • [3] Feature selection and machine learning algorithms for uyghur text sentiment classification
    Turhuntay, Raxida
    Slamu, Wushour
    Dawut, Abdusalam
    Hamdulla, Askar
    Turhun, Erxat
    Boletin Tecnico/Technical Bulletin, 2017, 55 (13): : 56 - 66
  • [4] A Comparative Study of Feature Selection Methods for Dialectal Arabic Sentiment Classification Using Support Vector Machine
    Al-Harbi, Omar
    INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY, 2019, 19 (01): : 167 - 176
  • [5] Different Classification Algorithms Based on Arabic Text Classification: Feature Selection Comparative Study
    Raho, Ghazi
    Al-Shalabi, Riyad
    Kanaan, Ghassan
    Asma'aNassar
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2015, 6 (02) : 192 - 195
  • [6] Sentiment Analysis for Arabic Reviews using Machine Learning Classification Algorithms
    Sayed, Awny A.
    Elgeldawi, Enas
    Zaki, Alaa M.
    Galal, Ahmed R.
    PROCEEDINGS OF 2020 INTERNATIONAL CONFERENCE ON INNOVATIVE TRENDS IN COMMUNICATION AND COMPUTER ENGINEERING (ITCE), 2020, : 56 - 63
  • [7] Enhancing Classification Performance through FeatureBoostThyro: A Comparative Study of Machine Learning Algorithms and Feature Selection
    Bhende, Deepali
    Sakarkar, Gopal
    Khandar, Punam
    Uparkar, Satyajit
    Bhave, Arvind
    INTERNATIONAL JOURNAL OF ONLINE AND BIOMEDICAL ENGINEERING, 2024, 20 (04) : 29 - 42
  • [8] Multi-class sentiment classification: The experimental comparisons of feature selection and machine learning algorithms
    Liu, Yang
    Bi, Jian-Wu
    Fan, Zhi-Ping
    EXPERT SYSTEMS WITH APPLICATIONS, 2017, 80 : 323 - 339
  • [9] A Comparative Analysis of Feature Selection Algorithms in Cross Domain Sentiment Classification
    Goel L.
    Gupta S.
    Gupta A.
    Nandal N.
    Rajan S.N.
    Gupta P.
    Recent Advances in Computer Science and Communications, 2024, 17 (03) : 32 - 47
  • [10] Machine-learning models for activity class prediction: A comparative study of feature selection and classification algorithms
    Chong, Joana
    Tjurin, Petra
    Niemela, Maisa
    Jamsa, Timo
    Farrahi, Vahid
    GAIT & POSTURE, 2021, 89 : 45 - 53