UI at SemEval-2020 Task 8: Text-Image Fusion for Sentiment Classification
Andi Suciati, Indra Darmawan Budi · 2020
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.