Sentiment Analysis of Arabic Social Media Content: A Comparative Study

被引：0
|
作者：
Khasawneh, Rawan T. [1 ]
Wahsheh, Heider A. [2 ]
Al-Kabi, Mohammed N. [3 ]
Alsmadi, Izzat M. [4 ]
机构：
[1] Jordan Univ Sci & Technol, IT & CS Fac, CS Dept, Irbid, Jordan
[2] King Khaled Univ, Coll Comp Sci, Dept Comp Sci, Abha, Saudi Arabia
[3] Zarqa Univ, Fac Sci IT, Zarqa, Jordan
[4] Prince Sultan Univ, Coll Comp & Informat Sci, Informat Syst Dept, Riyadh, Saudi Arabia
来源：
2013 8TH INTERNATIONAL CONFERENCE FOR INTERNET TECHNOLOGY AND SECURED TRANSACTIONS (ICITST) | 2013年
关键词：
Social network; document-level; sentiment analysis; Arabic; Arabic text classification; STRENGTH DETECTION;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
The Internet became an indispensable part of people's lives because of the significant role it plays in the ways individuals interact, communicate and collaborate with each other. Over recent years, social media sites succeed in attracting a large portion of online users where they become not only content readers but also content generators and publishers. Social media users generate daily a huge volume of comments and reviews related to different aspects of life including: political, scientific and social subjects. In general, sentiment analysis refers to the task of identifying positive and negative opinions, emotions and evaluations related to an article, news, products, services, etc. Arabic sentiment analysis is conducted in this study using a small dataset consisting of 1,000 Arabic reviews and comments collected from Facebook and Twitter social network websites. The collected dataset is used in order to conduct a comparison between two free online sentiment analysis tools: SocialMention and SentiStrength that support Arabic language. The results which based on based on the two of classifiers (Decision tree (J48) and SVM) showed that the SentiStrength is better than SocialMention tool.
引用
收藏
页码：101 / +
页数：2
相关论文
共 50 条
  • [1] MULDASA: Multifactor Lexical Sentiment Analysis of Social-Media Content in Nonstandard Arabic Social Media
    Alwakid, Ghadah
    Osman, Taha
    El Haj, Mahmoud
    Alanazi, Saad
    Humayun, Mamoona
    Sama, Najm Us
    [J]. APPLIED SCIENCES-BASEL, 2022, 12 (08):
  • [2] Open Issues in the Sentiment Analysis of Arabic Social Media: A Case Study
    El-Beltagy, Samhaa R.
    Ali, Ahmed
    [J]. 2013 9TH INTERNATIONAL CONFERENCE ON INNOVATIONS IN INFORMATION TECHNOLOGY (IIT), 2013,
  • [3] Sentiment Analysis for Arabic Social Media News Polarity
    Hnaif, Adnan A.
    Kanan, Emran
    Kanan, Tarek
    [J]. INTELLIGENT AUTOMATION AND SOFT COMPUTING, 2021, 28 (01): : 107 - 119
  • [4] Corpora For Sentiment Analysis Of Arabic Text In Social Media
    Itani, Maher
    Roast, Chris
    Al-Khayatt, Samir
    [J]. 2017 8TH INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATION SYSTEMS (ICICS), 2017, : 64 - 69
  • [5] SAMAR: Subjectivity and sentiment analysis for Arabic social media
    Abdul-Mageed, Muhammad
    Diab, Mona
    Kuebler, Sandra
    [J]. COMPUTER SPEECH AND LANGUAGE, 2014, 28 (01): : 20 - 37
  • [6] Sentiment Lexicons for Arabic Social Media
    Mohammad, Saif M.
    Salameh, Mohammad
    Kiritchenko, Svetlana
    [J]. LREC 2016 - TENTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION, 2016, : 33 - 37
  • [7] A Sentiment Analysis Approach based on Arabic Social Media Platforms
    Yu, La-sheng
    Al Baadani, Sadeq
    [J]. INTERNATIONAL CONFERENCE ON MECHANICAL, ELECTRONIC AND INFORMATION TECHNOLOGY (ICMEIT 2018), 2018, : 504 - 510
  • [8] Sentiment - Subjective Analysis Framework for Arabic Social Media Posts
    Bin Hathlian, Nourah F.
    Hafezs, Alaaeldin M.
    [J]. 2016 4TH SAUDI INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY (BIG DATA ANALYSIS) (KACSTIT), 2016, : 55 - 60
  • [9] A comparative study of effective approaches for Arabic sentiment analysis
    Abu Farha, Ibrahim
    Magdy, Walid
    [J]. INFORMATION PROCESSING & MANAGEMENT, 2021, 58 (02)
  • [10] A survey and comparative study on negative sentiment analysis in social media data
    Paul, Jayanta
    Chatterjee, Ahel Das
    Misra, Devtanu
    Majumder, Sounak
    Rana, Sayak
    Gain, Malay
    De, Anish
    Mallick, Siddhartha
    Sil, Jaya
    [J]. MULTIMEDIA TOOLS AND APPLICATIONS, 2024, 83 (30) : 75243 - 75292
12345