Sentiment Analysis Approach Based N-Gram and KNN Classifier

Abstract

Abstract:The sentiment analysis is the approach which is design to analysis positive, negative and neural aspects towards any approach. In the past years, many techniques are designed for the sentiment analysis of twitter data. Based on the previous study about sentiment analysis, novel approach is presented in this research paper for the sentiment analysis of twitter data. The proposed approach is the combination of feature extraction and classification techniques. The N-gram algorithm is applied for the feature extraction and KNN classifier is applied to classify input data into positive, negative and neural classes. To validate the proposed system, performance is analyzed in terms of precision, recall and accuracy. The experiments results of proposed system show that it performs well as compared to existing system which is based on SVM classifier.

Analisis Sentimen Pada Agen Perjalanan Online Menggunakan Naïve Bayes dan K-Nearest Neighbor

“…Algoritma N-gram berlaku untuk ekstraksi ciri, dan KNN untuk mengklasifikasikan data menjadi positif, negatif, atau netral. Hasilnya menunjukkan bahwa sistem yang diusulkan berkinerja baik dibandingkan dengan sistem yang ada dengan berbasis SVM [31].…”