The widely anticipated use of natural language processing (NLP) and machine learning is sentiment analysis (SA). The introduction of Web 2.0 resulted in this industry expanding significantly. People have long used the Internet as a forum to share their thoughts, feelings, and judgments about things, other people, and life in general. As a result, the Internet is currently a vast supply of humorous written data that expresses opinions. The automatic classification of opinionated writing as being negative, positive, or neutral is a crucial function of sentiment analysis. This study compared methods, techniques used in sentimental analysis, and its application in recommendation systems. Since the advent of recommender systems, this field of study has become increasingly important.

Keywords : Sentimental Analysis, Recommendation System, Emoji Analysis, Sarcasm Detection, Machine Learning.