Analisis Sentimen Hastag Covid - 19 di Dwitter Mengunakan Metode Tf-Idf dan Sosine Similarity

Giovani, Irfan (2022) Analisis Sentimen Hastag Covid - 19 di Dwitter Mengunakan Metode Tf-Idf dan Sosine Similarity. Undergraduate thesis, Politeknik Negeri jember.

	Text (Abstract) Abstrak b inggris.pdf - Submitted Version Available under License Creative Commons Attribution Share Alike. Download (2MB)
	Text (Bab 1 Pendahuluan) Bab 1.pdf - Submitted Version Available under License Creative Commons Attribution Share Alike. Download (2MB)
	Text (Daftar Pustaka) Daftar Pustaka.pdf - Submitted Version Available under License Creative Commons Attribution Share Alike. Download (2MB)
	Text (Laporan Lengkap) E41180577_Irfan Giovani.pdf Restricted to Registered users only Download (2MB) | Request a copy

Abstract

In this Covid-19 pandemic phase, sosial media plays a vital role in various activities such as distribution infomation, communication, and especially on Twitter. All informasion or news about Covid-19 spread outside of news or tweet of hoaxes or positive and negatif sentiments spreadding on Twitter sosial media. In this study, the researchers used the Cosine Similarity method. The data used amounthed to 1000 data taken from the Twitter sosial media. And the evaluation results show that the Cosine Similarity Algorithm has outstanding accuracy of 83% and the resoults of the system evaluation are 82% precision. 82% recall 82% and 82% F-Measure.

Actions (login required)

View Item