no code implementations • SEMEVAL 2017 • David Lozi{\'c}, Doria {\v{S}}ari{\'c}, Ivan Toki{\'c}, Zoran Medi{\'c}, Jan {\v{S}}najder
This paper describes the system we submitted to SemEval-2017 Task 4 (Sentiment Analysis in Twitter), specifically subtasks A, B, and D. Our main focus was topic-based message polarity classification on a two-point scale (subtask B).