SENTIMENT ANALYSIS IN TEXT BASED SYSTEMS USING MACHINE LEARNING TECHNIQUES

The goal of this work is to apply machine learning based models in order to understand text based inputs. The project’s purpose is to use machine learning based models in real world applications such as chatbots. Using artificial intelligence based machine learning models leads significant improvement in real world applications, reducing human labor costs. Keywords: artificial intelligence, machine learning, intelligent systems, nlp, chatbots, nlu, sentiment analysis, text-based systems, supervised learning, classification, deep learning, text preprocessing, sentiment classification.