Analisis Sentimen Hastag Covid - 19 di Dwitter Mengunakan Metode Tf-Idf dan Sosine Similarity
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Institusion
Politeknik Negeri Jember
Author
Giovani, Irfan
Subject
458 - Teknik Informatika
Datestamp
2022-08-04 03:00:22
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.
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.
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