Sentiment Analysis for Decision Support Systems of Employee

Abstract

This paper presents sentiment analysis that will be used as Decision Support in employee recruitment. Sentiment analysis used Term Frekuensi.Index Document Frekuensi (TF.IDF) weight calculations. Weighting results were classified using the Support Vector Machine (SVM) method into several categories, namely negative sentiment, positive sentiment and neutral. the results of this study showed an accuracy value of 0.65 which was the best accuracy for text classification.