The process of computationally identifying and categorizing opinions expressed in a piece of text, especially in order to determine whether the writer's attitude towards a particular topic, product, etc. is positive, negative, or neutral.
Sentiment analysis is the interpretation and classification of emotions (positive, negative and neutral) within text data using text analysis techniques. Sentiment analysis allows businesses to identify customer sentiment toward products, brands or services in online conversations and feedback..
Sentiment analysis is a text analysis method that detects polarity (e.g. a positive or negative opinion) within text, whether a whole document, paragraph, sentence, or clause.
Sentiment analysis is the similar technology used to detect the sentiments of the customers and there are multiple algorithms can be used to build such applications for sentiment analysis. As per the developers and ML experts SVM, Naive Bayes and maximum entropy are best supervised machine learning algorithms.