Sentiment Analysis Using Fuzzy Model

Natural Language Processing is one of the useful tools in the field of Knowledge Management. Sentiment analysis is an associated application area of such field to determine people’s thoughts on any topic. These opinions may typically be divided into neutral, unfavorable, or even both categories. In this study, we go through an approach for analyzing different user attitudes. The main goal of this model is to analyze emotions more accurately by combining the advantages of Fuzzy and Natural Language Toolkit (NLTK) systems. More precisely, here the focus is to use the fuzzy logic-based inference model to construct a text processing tool for decision support to classify users or customer attitudes.