Abstract
High internet usage in Indonesia brings a number of data user opinions. Useropinion data can be processed into information that is useful for decision making, datasearching and researching for production and marketing strategies. This researchconducted a survey on some Indonesian Sentiment Analysis research articles. Some of thesestudies have different topics and data sources, butuse Sentiwordnet as a lexical database.The results of this survey show the performance of Sentiwordnet can improve classificationaccuracy in the Sentiment analysis system for Indonesian text.
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CITATION STYLE
Christina, S., & Ronaldo, D. (2018). A SURVEY OF SENTIMENT ANALYSIS USING SENTIWORDNET ON BAHASA INDONESIA. Jurnal Teknologi Informasi Jurnal Keilmuan Dan Aplikasi Bidang Teknik Informatika, 12(2), 69–73. https://doi.org/10.47111/jti.v12i2.534
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