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.

引用

页码：655 / 660

页数：6

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