ANALISIS SENTIMEN TERHADAP UNIVERSITAS SRIWIJAYA BERDASARKAN OPINI MASYARAKAT DARI TWITTER MENGGUNAKAN METODE NAÏVE BAYES CLASSIFIER
Daftar Isi:
- Twitter is one of the microblogging social media where users can search for specific topics and discuss current issues. Some short messages or tweets can help the community. This message can be a source of data to assess public opinion, from this opinion there arises a variety of sentiments, some provide positive sentiments and also negative sentiments about responses to the literature related to Sriwijaya University. From this debate the authors analyze to build an application using the Naïve Bayes estimate Classifier which is a calculation for classifying public opinion from Twitter and obtaining training data through the web-based TAGS v6.1 application. This classification process is carried out through the preprocess evaluation stage and the classification process itself. From this study the authors made an application that can obtain information about positive or negative sentiments based on public opinion from Twitter related to the services and performance of Sriwijaya University.