%0 Thesis
%9 Skripsi
%A LUSIANA LESTARI, NIM. 14650026
%B FAKULTAS SAINS DAN TEKNOLOGI
%D 2018
%F digilib:34036
%I UIN SUNAN KALIJAGA YOGYAKARTA
%K analisis sentimen, twitter, klasifikasi, Support Vector Machine, Supervised Learning
%P 82
%T ANALISIS SENTIMEN TWITTER DENGAN MENGGUNAKAN ALGORITMA SUPPORT VECTOR MACHINE (SVM) (STUDI KASUS: 3556 DATA TWEETS DENGAN KATA KUNCI CADAR DAN HIJAB)
%U https://digilib.uin-suka.ac.id/id/eprint/34036/
%X Social media is one of the media used by people to express their opinions. Through social media, people have freedom to express their opinions about anything. One of the most popular social media is Twitter. On Twitter, various public opinions can be found on issues that are currently being discussed. With the many opinions conveyed through social media, opinions tendencies on certain topics can be analyzed.  The goal of this study is to analyze sentiment in tweets data with keywords "cadar" and "hijab". The algorithm used in this study is Support Vector Machine. The amount of data used is 3556 tweets data. 1056 tweets data is classifiedmanually for learning process. The remaining 2500 data will be classified automatically with the classifier model that has been created.  Total of 1056 tweets data that have been classified manually are separated into training and testing data with ratio of 8: 2. The result of sentiment analysis process using Support Vector Machine algorithm RBF kernel with C=1 and γ=1 has an accuracy score of 73.6%.
%Z Muhammad Didik Rohmad Wahyudi, S.T., MT.