Sentiment analysis (SA) is an intellectual and extracting process of the user’s feelings and emotions. It is one of the promising fields of Natural Language Processing (NLP) such as text analysis, computational linguistics, and biometrics to systematically identify, extract, quantify, and study effective states and subjective information. Sentiment analysis is widely applied to a voice of the customer materials such as reviews and survey responses, online and social media, and healthcare materials for applications that range from marketing to customer service to clinical medicine. In this paper, the latest algorithms of sentiment analysis applications are investigated and presented briefly. This paper also introduces a survey on the different techniques and challenges of sentiment analysis.

Sentiment Analysis, Opinion Mining, Product Review, Data Review

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