A Spanish Political Tweets Fine-Tuned Sentiment Analysis Model

被引:0
|
作者
Jimenez-Bravo, Diego M. [1 ,2 ]
Lozano Murciego, Alvaro [1 ]
Bajo, Javier [3 ]
De La Iglesia, Daniel H. [1 ,3 ]
Pinzon, Cristian [4 ]
机构
[1] Univ Salamanca, Fac Sci, Expert Syst & Applicat Lab, Plaza Caidos S-N, Salamanca 37008, Spain
[2] Univ Politecn Madrid, ETSI Informat, Dept Inteligencia Artificial, Ontol Engn Grp, Madrid 28660, Spain
[3] Pontifical Univ Salamanca, Fac Informat, Salamanca 37002, Spain
[4] Univ Tecnol Panama, Grp Invest ROBOTSiS, Santiago De Veraguas, Panama
来源
NEW TRENDS IN DISRUPTIVE TECHNOLOGIES, TECH ETHICS AND ARTIFICIAL INTELLIGENCE, DITTET 2022 | 2023年 / 1430卷
关键词
NLP; Political Twitter; Sentiment analysis; Spanish NLP;
D O I
10.1007/978-3-031-14859-0_8
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Society is dominated by the era of data; this data is of great importance as it provides a great variety of information about people and their context. One of the tools that provide great information about users is social networks; therefore, Twitter is one of the most used social networks and has great relevance in the world of politics. Thus, extracting knowledge and creating user profiles can be of great importance for certain sectors. For this reason, in this article, we propose to create the first model for sentiment analysis of political tweets in Spanish that is open to the scientific community. The results shown in the article are promising.
引用
收藏
页码:91 / 102
页数:12
相关论文
共 50 条
  • [41] Movie sentiment analysis based on public tweets
    Blatnik, Aljaz
    Jarm, Kaja
    Meza, Marko
    ELEKTROTEHNISKI VESTNIK-ELECTROCHEMICAL REVIEW, 2014, 81 (04): : 160 - 166
  • [42] Detection of Fake Tweets Using Sentiment Analysis
    Monica C.
    Nagarathna N.
    SN Computer Science, 2020, 1 (2)
  • [43] Sentiment Analysis of Live Tweets After Elections
    Baid, Palak
    Chaplot, Neelam
    EMERGING TRENDS IN EXPERT APPLICATIONS AND SECURITY, 2019, 841 : 307 - 314
  • [44] Arabic tweets sentiment analysis - a hybrid scheme
    Aldayel, Haifa K.
    Azmi, Aqil M.
    JOURNAL OF INFORMATION SCIENCE, 2016, 42 (06) : 782 - 797
  • [45] Sentiment analysis for the tweets that contain the word "earthquake"
    Pirnau, Mironela
    PROCEEDINGS OF THE 2018 10TH INTERNATIONAL CONFERENCE ON ELECTRONICS, COMPUTERS AND ARTIFICIAL INTELLIGENCE (ECAI), 2018,
  • [46] Sentiment analysis of tweets on social security and medicare
    Chakravarty, Unmesh Kumar
    Arifuzzaman, Shaikh
    SOCIAL NETWORK ANALYSIS AND MINING, 2024, 14 (01)
  • [47] Sentiment Analysis of English Tweets Using RapidMiner
    Tripathi, Pragya
    Vishwakarma, Santosh Kr
    Lala, Ajay
    2015 INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND COMMUNICATION NETWORKS (CICN), 2015, : 668 - 672
  • [48] Sentiment Analysis on Tweets with Punctuations, Emoticons, and Negations
    Cureg, Miks Q.
    De La Cruz, Juan Aurel D.
    Solomon, Juan Carlos A.
    Saharkhiz, Aresh T.
    Balan, Ariel Kelly D.
    Samonte, Mary Jane C.
    PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND SYSTEMS (ICISS 2019), 2019, : 266 - 270
  • [49] Sentiment Analysis of Arabic Jordanian Dialect Tweets
    Atoum, Jalal Omer
    Nouman, Mais
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2019, 10 (02) : 256 - 262
  • [50] Sentiment analysis model for cryptocurrency tweets using different deep learning techniques
    Nair, Michael
    Abd-Elmegid, Laila A.
    Marie, Mohamed I.
    JOURNAL OF INTELLIGENT SYSTEMS, 2024, 33 (01)