NDLI: The Analisis Sentimen Sosial Media Twitter Dengan Algoritma Machine Learning Menggunakan Software R

Content Provider	Semantic Scholar
Author	Pratama, Jaka Aulia Suprijadi, Yadi Zulhanif, Zulhanif
Copyright Year	2017
Abstract	Social media is a place to express opinions on a particular topic. The availability of information and opinions from social media users is a collection of data documents in the form of very large textual data and its useful for the research purposes and make a decision for certain parties. Text Mining can be defined as a process of extracting information in which the user interacts with the documents over time using an analysis tool. Opinion Mining analysis is one of computational studies related to public case concerning opinion, judgment, attitude, and emotion. This study will use the method of Machine Learning algorithm on the analysis of Twitter user sentiment toward Donald Trump and Barack Obama in 20000 tweets. The accuracy of Machine Learning method obtained is high enough that is 87.52% for Data Training and 87.4% for Data Testing.
Starting Page	85
Ending Page	89
Page Count	5
File Format	PDF HTM / HTML
DOI	10.14421/fourier.2017.62.85-89
Volume Number	6
Alternate Webpage(s)	http://fourier.or.id/index.php/FOURIER/article/download/70/70
Alternate Webpage(s)	https://doi.org/10.14421/fourier.2017.62.85-89
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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