Εξόρυξη άποψης και ανάλυση συναισθήματος σε μέσα κοινωνικής δικτύωσης
The Internet technologies development, the widening of its audience and its uses has resulted in increasing the data sets’ volume available through the world wide web. This fact emerged the need for developing new efficient mechanisms for exploiting these data, as traditional techniques were no longer sufficient to manage this volume of data. The most important source of data related to public opinion and tendencies is the social networks. To these, the largest proportion of the world's population is posting its opinion, concerns and comments on a wide range of subjects. In the present thesis the mechanisms used to determine the sentiment orientation of the social networks users are being presented at a theoretical and practical view.