A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is
Urszula Walińska at SemEval-2020 Task 8: Fusion of Text and Image Features Using LSTM and VGG16 for Memotion Analysis
Proceedings of the Fourteenth Workshop on Semantic Evaluation
In the paper, we describe the Urszula Walińska's entry to the SemEval-2020 Task 8: Memotion Analysis. The sentiment analysis of memes task, is motivated by a pervasive problem of offensive content spread in social media up to the present time. In fact, memes are an important medium of expressing opinion and emotions, therefore they can be hateful at many times. In order to identify emotions expressed by memes we construct a tool based on neural networks and deep learning methods. It takes andoi:10.18653/v1/2020.semeval-1.161 fatcat:aqoymqnqnndkfjgjdk5qn6dyjy