Methodological study of opinion retrieval techniques for Twitter social network

Abstract

Twitter has turned into an important source for individuals to collect opinions for making decisions. The expansion of social networks and blogs discloses a set of opportunities in the way data is looked and recovered. Opinion retrieval is the formalization for studying and construing opinions. They are used for data evocation which classifies the people opinions or views related as decisive, pessimistic and pacifistic words. Opinion retrieval 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. Additionally the best ranking model which covers all features and with high adequacy with a state-of-art for Twitter opinion retrieval technique and it outperforms existing methods significantly.