Publications
Tweester at SemEval-2017 Task 4: Fusion of Semantic-Affective and pairwise classification models for sentiment analysis in Twitter
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.
- Date
- 2017
- Authors
- Athanasia Kolovou, Filippos Kokkinos, Aris Fergadis, Pinelopi Papalampidi, Elias Iosif, Nikolaos Malandrakis, Elisavet Palogiannidi, Harris Papageorgiou, Shrikanth Narayanan, Alexandros Potamianos
- Conference
- Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)
- Pages
- 675-682