Turkish Presidential Elections TRT Publicity Speech Facial Expression Analysis
This work provides domain-specific insights into political communication by analyzing candidate expressions, but it is incremental as it applies existing methods to new data.
The paper analyzed facial expressions of three Turkish presidential candidates during TRT publicity speeches using FaceReader and active appearance models, tracking over 500 landmark points to obtain expression data, with all source videos and data made publicly available.
In this paper, facial expressions of the three Turkish presidential candidates Demirtas, Erdogan and Ihsanoglu (in alphabetical order) are analyzed during the publicity speeches featured at TRT (Turkish Radio and Television) on 03.08.2014. FaceReader is used for the analysis where 3D modeling of the face is achieved using the active appearance models (AAM). Over 500 landmark points are tracked and analyzed for obtaining the facial expressions during the whole speech. All source videos and the data are publicly available for research purposes.