@thesis{thesis,
		author={Asri  Yessy and Fitriyah  Lailil Ayu and Kuswardani  Dwina},
		title ={ANALISIS SENTIMEN MELALUI TWITTER TERHADAP KEPUASAN PELANGGAN PT. PLN(PERSERO) AREA KALIMANTAN TIMUR MENGGUNAKAN METODE SUPPORT VECTOR MACHINE(SVM)},
		year={2022},
		url={http://156.67.221.169/5815/},
		abstract={Twitter has become one of the media in accommodating public opinion, all audiences 
can access and write tweets based on their feelings. This also make the audience 
express opinions on the services or products of a company. PLN is one of the 
companies that accommodates the opinions of its customers. Opinions conveyed to 
PLN may countain negative, positive, or neutral sentiments. This is the purpose of this 
study, namely to conduct a sentiments analysis on opinions from twitter relating to 
PLN services in the East Kalimantan area. This sentiment uses the support vector 
machine algorithm in classifying. The results of the classification using 100 tweet data 
with a comparison of 90% training data and 10% testing, the results obtained are 80% 
accuracy values.}
		}