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Opinion mining also known as Sentiment analysis is one of the most recent challenges in Natural Language Processing (NLP). Individuals expressing their opinions on various platforms such as Facebook, Twitter, and Yelp are also a difficult task because innovation has increased exponentially. With the popularity of social media, a massive amount of data namely comments, reviews and opinions have been generated. According to researchers, analysis of sentiments is based on a sentence level, document level, aspect level and user level. The analysis of this data consumes more time and is difficult for processing. As a result, there is a need to create an intelligent system that can classify or determine positive, negative, and neutral opinions. The main goal of this paper is to provide a brief summary of opinion mining using techniques like machine learning, deep learning, and transfer learning.