Sentiment analysis is a process which involves identifying and extracting emotions, feelings, and opinions from textual data. This technology has gained prominence in recent years, as more and more companies realize the possibility of understanding the emotions and opinions of their customers in order to improve products and their services. There are many sentiment analysis tools and applications on the market to meet different business needs. The applications of sentiment analysis tools are widespread and varied. In marketing, sentiment analysis tracks customer feedback and improves branding. It is also used in customer service to understand customer needs and provide individualized assistance. In politics, sentiment analysis tracks public opinion and predicts election results. It is also used in the healthcare industry to monitor the mood of patients and detect potential health problems. This study will compare different techniques of analyzing sentiments by implementing them.

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