Optimasi SVMBerbasis PSOpada Analisis SentimenWacana Pindah Ibu Kota Indonesia

Optimasi SVMBerbasis PSOpada Analisis SentimenWacana Pindah Ibu Kota Indonesia

Natural Language Processing (NLP), Sentiment Analysis, SVM, PSO

President Joko Widododecided to move the capital city of the country outside Java.The relocation of the capital city is contained in the 2020-2024 National Medium-Term Development Plan. Community response to this has been mixedthrough national television and social media, especially Twitter. The tendency of Twitter users to respond to the government discourse can be seen with sentiment analysis. Sentiment analysis is one of the areas of Natural Language Processing (NLP) that builds systems for recognizing and extracting opinions. In this study, the Feature Selection PSOalgorithm in the classification of the SVMmodel is proposed to improve the resulting accuracy in the sentiment analysis of moving capital cities. Experimentson the data of 1,319 tweets (457 positive sentiments and 862 negative sentiments) indicate an increase in accuracyby 2.09% from 79.06% to 81.15%,with the classification category is “Good Classification

Primandani Arsi1, Rizki Wahyudi2, Retno Waluyo

https://jurnal.iaii.or.id/index.php/RESTI/issue/view/22

Universitas Amikom Purwokerto

30 april 2021

Fajar bagus W

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Indonesia

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