Analysis of Sentiment Comments on JNE Using K-Nearest Neighbor (KNN) Method on Twitter Social Media
Analis Sentimen Komentar Terhadap JNE Menggunakan Metode K-Nearest Neighbor (KNN) pada Media Sosial Twitter
DOI:
https://doi.org/10.21070/ups.1144Keywords:
Social Media, Twitter, Sentiment Analysis, Text Mining, K-Nearest NeighborAbstract
Social media has now become a public space with the widespread use of smartphones, especially Twitter Netizens use it as an effective means of communication. By one click, millions of connected netizens can see it easily without barriers and boundaries. The results of the public opinion can be used as data for sentiment analysis in the form of comments and used as material for text mining analysis. With the commentary text data, there are various kinds of opinions given by the public through social media, for example Twitter. This study aims to obtain more accurate information about the mood of the mass media, and the results of this information are more accurate if the services provided are negative, positive and neutral. Based on the background above, the authors propose that the research entitled Comment Sentiment Analysts Against JNE Using the K-Nearest Neighbor (KNN) Method on Twitter.
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