wentaoxandry/memotion3.0_challenge

Memotion3.0_challenge

Implementation of our Memotion 3.0 challenge. The challenge provides an English and a mixed Hindi-English meme dataset for three classification tasks: Task A is sentiment analysis to classify a given meme as positive, negative, or neutral. In Task B, emotion classification, a meme should be identified as humorous, sarcastic, offensive, or motivational. Finally, Task C asks to predict the intensity of the emotion classes in Task B. We won the best ranks on the two final Tasks B and C, with respective scores of 0.7977 and 0.5982.

How to run the code

• Please follow ./run.sh download all necessary dataset and run the code.

Acknowledgement

The work was supported by the PhD School ”SecHuman - Security for Humans in Cyberspace” by the federal state of NRW, and partially funded by the Deutsche Forschungsgemeinschaft (DFG–German Research Foundation) [Project-ID 429873205] and by the German Federal Ministry of Education and Research [Grant No: 16KIS1518K].