1. A computer-implemented method for sentiment analysis from social media content, comprising: crawling, by a processor, a plurality of websites to obtain metadata from social media content; extracting, by a processor, the metadata from the social media content by identifying a polarity of the sentiment-bearing keywords in a sentence from social media content using a phase transition formula; determining at least one category corresponding to the at least one sentiment-bearing keyword of the sentence; and determining at least one sentiment corresponding to the at least one category based on the at least one sentiment-bearing keyword.