Tweester at SemEval-2017 Task 4: Fusion of Semantic-Affective and pairwise classification models for sentiment analysis in Twitter
Athanasia Kolovou,
Filippos Kokkinos,
Aris Fergadis,
Pinelopi Papalampidi,
Elias Iosif,
Nikolaos Malandrakis,
Elisavet Palogiannidi,
Haris Papageorgiou,
Shrikanth Narayanan,
Alexandros Potamianos
August 2017
Abstract
In this paper, we describe our submission to SemEval2017 Task 4: Sentiment Analysis in Twitter. Specifically the proposed system participated both to tweet polarity classification (two-, three- and five class) and tweet quantification (two and five-class) tasks.
Publication
Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)