Analisis Sentimen Pada Tweet Dengan Tagar #kpujangancurang Menggunakan Metode Naive Bayes

Indriani, Dian (2019) Analisis Sentimen Pada Tweet Dengan Tagar #kpujangancurang Menggunakan Metode Naive Bayes. Other thesis, Universitas Islam Riau.

Text Dian Indriani.pdf - Submitted Version Download (1MB)

Abstract

Twitter is one of the top influenced social media which has million number of active users. It is commonly used for microblogging that allows users to share massages, ideas thoughts and many more. Thus, millions interaction such as short message or tweet are flowing around among the twitter users discussing various topics that has been happening world-wide. This research aims to analyse a sentiment of the users towards simila a particular trending topic that has been actively and massively discussed at that time. Researcher chose a hashtag #kpujangancurang invest that was the trending topic during the Indonesia presidential election in 2019. Researcher use that hashtag to obtain a set of data from Twitter to analyse and investigate further the positive or the negative sentiment of the users from their tweets. This research utilizes rapid miner tool to generate the twitter data and Nave Bayes classification method to classify the sentiment of the twitter data. There are overall 200 data training and 100 data testing in this experiment. The final accuracy of the sentiment analyzer is 0.89.

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