Fuzzy K-Nearest Neighbor for Restaurants Business Sentiment Analysis on TripAdvisor
Baiq Findiarin Billyan, Riyanarto Sarno, Kelly Rossa Sungkono, Irene Realyta Halldy Trosi Tangkawarow · 2019 International Conference on Information and Communications Technology (ICOIACT) · 2019
Social media has grown so rapidly, so people easily to share their opinions, moments, etc. There are several types of research about social media, one of which is Sentiment Analysis (SA) that can also be referred to as opinions meaning (OM). Sentiment Analysis focuses on the classification of patterns that are derived from words that are positive words, negative words, and neutral words. In this paper, the researcher uses sentiment analysis with a machine learning approach and uses Fuzzy K-Nearest Neighbor (FK-NN) as the classification method. The dataset uses English text classification, to predicted sentiment of customer reviews about the positive or negative review. The predicted results show that Sentiment Analysis FK-NN is slightly close to the results of the previous research method, namely Probabilistic Latent Semantic Analysis (PLSA), which FK-NN is 72.05% and PLSA is 76%.