An opinion mining subject of interest has recently arisen because of opinionated data found on blogs and social networks. Looking at various styles of points of viewpoints and summarizing them offers useful insight to different demographics who use social media for any of interest. Classification of opinions based on polarity is difficult. This experiment is made for the express purpose of analyzing Twitter users' moods There are Natural Language Processing methods used to identify the subject of the emotion. In our experiment, we break down the subjectivity into three phases, classifying them, analyzing words, and determining their polarity. is used to identify the correlation between the emotion lexicons and subjects Some preliminary experiments demonstrate that the method would be more effective than text analysis, as the structure of tweets differs greatly. The study's results clearly show that 20% of the respondents have given a constructive response, with 71% offering a critical comment and 9% remaining neutral.