Medical data Opinion retrieval on Twitter streaming data

Human generated enormous amount text can be analyzed to obtain useful information. A sparingly popular communication tool amongst Internet users today is Micro blogging. Opinions are shared by millions of public on different aspects of life. Analyzing the opinions that are extracted from various sources using computational techniques is referred as Opinion Mining. Opinion mining exemplifies the techniques and approaches that promise to precisely facilitate the opinion-oriented information seeking techniques that involved computational regimen of opinion or subjectivity in the text. The approach is to collect data from Twitter, a micro blogging social networking site and analyze various Opinion mining techniques. A little effort is made to review in detail about various approaches to perform a computational analysis of opinions. Various data-driven techniques for opinion mining as Feature based Opinion Mining Technique, Machine learning based Opinion Mining Technique and Ranking model with an opinionatedness feature are reviewed and their strengths and weakness are touched upon.