Sentiment Analysis of social media

Abstract: Sentiment Analysis is used to determine whether a given text contains negative, positive, or neutral emotions. It’s a basic form of text analysis that use the natural language processing (NLP) and machine learning (ML) techniques that are combined to assign sentiment scores to the topics, categories or entities within a phrase. It usually helps in textual data to help business monitor brand and product sentiment in customer feedback, and understand customer. It refers to the use of text mining and other technologies to extract attitudes, opinions, and other information for analysis is classifying the polarity of a given text as the document, sentence or feature of aspect level so whether the expressed option in a document, sentence or an entity feature is positive, negative, or neutral.

Keywords: Sentiment analysis tasks, Tasks of sentiment Analysis, Level of sentiment analysis.