Sentiment Analysis is considered an advanced technology to predict and analyze people’s opinions, attitudes, sentiments, and perceptions towards some topics, products, and services. Due to the fast evolution of Internet-based applications, opinion mining becomes a very substantial method nowadays. For this purpose, many systems have been developed so far; some use the statistical method whereas some use parsers to analyze the data. However, this article presents a complete study and uses a hybrid approach to analyze volumetric data in the form of sentences. The hybrid approach of sentiment analysis uses both deep learning (statistical methods) and knowledge-based methods. Furthermore, this article also uses a sentence structure approach that helps to overcome the linguistic effects in the knowledge base. In addition, this article also suggests some future directions using the sentence structure of natural language for an expert system.