TY - GEN
T1 - UI at SemEval-2020 Task 8
T2 - 14th International Workshops on Semantic Evaluation, SemEval 2020
AU - Suciati, Andi
AU - Budi, Indra
N1 - Funding Information:
The authors acknowledge the PUTI Prosiding research grant NKB-870/UN2.RST/HKP.05.00/2020 from Directorate Research and Community Services, Universitas Indonesia.
Publisher Copyright:
© 2020 14th International Workshops on Semantic Evaluation, SemEval 2020 - co-located 28th International Conference on Computational Linguistics, COLING 2020, Proceedings. All rights reserved.
PY - 2020
Y1 - 2020
N2 - This paper describes our system, UI, for task A: Sentiment Classification in SemEval-2020 Task 8 Memotion Analysis. We use a common traditional machine learning, which is SVM, by utilizing the combination of text and images features. The data consist text that extracted from memes and the images of memes. We employ n-gram language model for text features and pre-trained model, VGG-16, for image features. After obtaining both features from text and images in form of 2-dimensional arrays, we concatenate and classify the final features using SVM. The experiment results show SVM achieved 35% for its F1 macro, which is 0.132 points or 13.2% above the baseline model.
AB - This paper describes our system, UI, for task A: Sentiment Classification in SemEval-2020 Task 8 Memotion Analysis. We use a common traditional machine learning, which is SVM, by utilizing the combination of text and images features. The data consist text that extracted from memes and the images of memes. We employ n-gram language model for text features and pre-trained model, VGG-16, for image features. After obtaining both features from text and images in form of 2-dimensional arrays, we concatenate and classify the final features using SVM. The experiment results show SVM achieved 35% for its F1 macro, which is 0.132 points or 13.2% above the baseline model.
UR - http://www.scopus.com/inward/record.url?scp=85123953125&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85123953125
T3 - 14th International Workshops on Semantic Evaluation, SemEval 2020 - co-located 28th International Conference on Computational Linguistics, COLING 2020, Proceedings
SP - 1195
EP - 1200
BT - 14th International Workshops on Semantic Evaluation, SemEval 2020 - co-located 28th International Conference on Computational Linguistics, COLING 2020, Proceedings
A2 - Herbelot, Aurelie
A2 - Zhu, Xiaodan
A2 - Palmer, Alexis
A2 - Schneider, Nathan
A2 - May, Jonathan
A2 - Shutova, Ekaterina
PB - International Committee for Computational Linguistics
Y2 - 12 December 2020 through 13 December 2020
ER -