The social media is not only a source that disseminates information to users, but it also allows users to communicate
and share their thoughts and experience. The computer technology now-a-days have entered our imigination and it is
impossible to imagine our lives without gadgets or the Internet. The part of data is subjective and includes opinions that can be
analyzed to obtain the necessary data and to be used later for a variety of purposes for analysis and decision support. In this
research study, the emotion related techniques are studied to derive opinions from tweets. To ensure efficient classification, it is
important to implement an algorithm that performs well on this task. Therefore, the main goal of the research work is to
investigate algorithms that can be applied to opinion estimation. To that extent, data preprocessing and multiple experiments are
performed, that is, classifiers are trained and tested on two different datasets with two different classifiers i.e.
