ANALISIS SENTIMEN PENGGUNA GOPAY MENGGUNAKAN METODE LEXICON BASED DAN SUPPORT VECTOR MACHINE

Autor:	Moh Bhanu Setyawan, Ghulam Asrofi Buntoro, Rachmad Mahendrajaya
Rok vydání:	2019
Předmět:	Support vector machine Information retrieval Simple (abstract algebra) Polynomial kernel Computer science Kernel (statistics) Sentiment analysis Social media Lexicon Variety (linguistics)
Zdroj:	KOMPUTEK. 3:52
ISSN:	2614-0977 2614-0985
DOI:	10.24269/jkt.v3i2.270
Popis:	Go-Pay is part of the Gojek application and one of the most popular finteches in Indonesia. Although the most popular, not all users have positive or even negative comments. Now users can submit various media opinions, one of which is Twitter. Twitter media has the advantage of a simple display, updated topics, open access to tweets and express opinions quickly. From a variety of comments on Twitter it takes a technique to divide into classes positive or negative opinions. This study uses prepocessing and labeling opinions into positive and negative classes with the lexicon Based method. As for the classification using the Support Vector Machine (SVM) method. The data used in the form of opinions about Go- Pay reviews from social media Twitter, amounting to 1210. The results of labeling with Lexicon Based amounted to 923 for positive and 287 for negative. While the classification of the SVM method using the Linear kernel produces 89.17% and 84.38% for the Polynomial kernel.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::fc2b06bfb7b22bd18b815422d9478149 https://doi.org/10.24269/jkt.v3i2.270 Zobrazit plný text záznamu