Methodological Study Of Opinion Mining And Sentiment Analysis Techniques

Pravesh Kumar Singh, Mohd Shahid Husain
2014 International Journal of Soft Computing  
Social media is one of the popular source for information retrieval and also it is being used for sharing day-to-day events of our lives and the incidents which are happening around the world. Twitter can be used as microblogging service used to discover events and news in real time from anywhere in the World. Twitter posts are generally short and can be generated constantly, so we can say that they are well-suited sources of streaming data for opinion mining and sentiment polarity detection.
more » ... larity detection. Twitter posts on a particular event or subject can help us to know opinions of people about that particular event or subject. Sentiment analysis on twitter posts can help us know how people react to a particular event and how their opinion can change if something unusual happened. Sentiment analysis helps in many business areas to know reviews of an event. While doing any Machine Learning task, the main concern is an accuracy of a model. If the dataset is precise, then we can get a higher accuracy of Machine Learning model. The objective of this paper is to discuss methodology which gives more accuracy of the machine learning task to find out sentiment polarity on Twitter data. International Research Journal of Engineering and Technology (IRJET) e
doi:10.5121/ijsc.2014.5102 fatcat:gv4xukgctjgelnmigjqobsohtu