Identification of Donald Trump's Tweets Using Machine Learning

被引：0
|
作者：
Ahmad, Lina [1 ]
Al-Mousa, Amjed [1 ]
机构：
[1] Princess Sumaya Univ Technol, Comp Engn Dept, Amman, Jordan
来源：
2021 18TH INTERNATIONAL MULTI-CONFERENCE ON SYSTEMS, SIGNALS & DEVICES (SSD) | 2021年
关键词：
machine learning; text analysis; Twitter; Trump; randomforest classifier; multinomial Naive Bayes classifier; support vector classifier;
D O I：
10.1109/SSD52085.2021.9429330
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The current president of the United States of America, Donald Trump, is well known for his active Twitter account where he shares his personal daily thoughts using the Twitter handle '@realDonaldTrump'. This paper presents the use of classical machine learning techniques in an attempt to analyze Trump's use of words. Afterward, multiple steps of data preprocessing are applied to build a dictionary of definitive words Trump continuously uses, subsequently feeding this dictionary to a number of machine learning models to correctly classify a tweet as written by Trump or not. The accurate result this project has produced proves that Donald Trump has developed a certain pattern of word usage in what he chooses to criticize or shed light upon.
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页码：655 / 660
页数：6
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