@phdthesis{digilib42658,
           month = {June},
           title = {STUDI PERBANDINGAN METODE ANALISIS NAIVE BAYES CLASSIFIER  DENGAN SUPPORT VECTOR MACHINE UNTUK ANALISIS SENTIMEN  (STUDI KASUS: TWEET BERBAHASA INDONESIA TENTANG COVID-19)},
          school = {UIN SUNAN KALIJAGA YOGYAKARTA},
          author = {NIM.: 16650029 Ahmad Nur Fauzi},
            year = {2020},
            note = {Pembimbing : Agung Fatwanto, Ph.D},
        keywords = {Naive Bayes Classifier, Support Vector Machine, Analisis Sentimen},
             url = {https://digilib.uin-suka.ac.id/id/eprint/42658/},
        abstract = {Sentimen analysis is a technique for detecting opinions about a subject (for
example individuals, organizations or products) in a data set. Community life today
supports the emergence of social interaction through social media which is a
suggestion in conveying positive and negatif opinions. In this study using 2
methods, namely Na{\"i}ve Bayes Classifiers (NBC) and Support Vector Machine
(SVM) to classify sentimens.  
A total of 9015 data were used in the analysis process with TF-IDF
weighting techniques and Term Frequency. Evaluation uses 2 ways, that is
confusion matrix and K-fold cross validation. With the confusion matrix, SVM has
an accuracy value of 83\%, a precision value of 83\%, a recall value of 98.8\%, and a
specificity value of 9\%. While NBC has an accuracy value of 82.3\%, a precision
value of 82.3\%, a recall value of 99.7\%, and a specificity value of 3.4\% with TFIDF.
Then,
SVM
has
an
accuracy
value
of
82.8\%,
a
precision
value
of
83\%,
a
recall

value
of
99\%,
and
a
specificity
of
8\%.
While
NBC
has
an
accuracy
value
of
80.1\%,

a
precision
value
of
85.7\%,
a
recall
value
of
90\%,
and
a
specificity
of
29\%
with
TF.

K-fold cross Validation with TF-IDF weighting, SVM accuracy value of
82.6\%, precision value of 82.9\%, recall rate of 98.8\%, and specificity of 10.9\%.
NBC accuracy is 82\%, precision value is 82\%, recall rate is 99.6\%, and specificity
is 4.8\%. SVM Term Frequency accuracy value is 82.5\%, precision value is 82.6\%,
99.1\% recall rate, and specificity is 7\%. NBC accuracy value is 79.8\%, precision
value is 85.9\%, recall rate is 89.2\%, and specificity is 32\%. NBC data processing
time is faster than SVM with NBC under 5 seconds while SVM is above 500
seconds.}
}