The most accurate explanation of sentiment analysis is that it is used to analyze the subjective information provided by people. Various tools can be utilized to perform this operation such as computational linguistics, text analysis, biometrics, and natural language processing.
Data analyzed in sentiment analysis is collected from various qualitative and quantitative methods. Customer surveys, healthcare usage, and social media are some of the ways through which sentiment analysis is conducted.
Sentiment analysis identifies and extracts emotions, opinions, appraisals, or attitudes toward a product, person, or entity. Expressions could be negative or positive. Some of the tools to learn sentiment analysis are Logistic Regression, Random Forests, SVMs, and Naive Bayes.
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