Comparative Analysis of Artificial Intelligence Techniques for Sentiment Analysis and its Challenges

Evolution of Artificial Intelligence proves better solutions in wide variety of applications. Due to advancement of internet and social media, data is increasing exponentially. It is becoming key platform and source of information where peoples express their implicit thoughts, feeling, and emotions. It is need to analyze such data for different application. Sentiment analysis is the application which is used to extract accurate sentiments from user data. It is deals with extracting sentiments, opinion, emotion, aspect, view from the text, videos, emoticons, speech etc. There are different challenges of sentiment analysis. Varieties of techniques are developed to overcome such challenges. Nature inspired algorithms becoming emerging area of a research in AI to get optimize results. Machine Learning and Deep learning techniques playing significant role for problem solving in different areas. Knowledge graph is the emerging approach used for sentiment analysis. This study focuses on comparative analysis of Bioinspired meta-heuristic optimization algorithms, Machine Learning, Deep Learning techniques and Knowledge Graph for sentiment analysis with its challenges.