Papers with MemoSen

1 papers
MemoSen: A Multimodal Dataset for Sentiment Analysis of Memes (2022.lrec-1)

Copied to clipboard

Challenge: Recent studies on sentiment analysis of memes have focused on English, but there is a significant barrier to performing multimodal sentiment analysis research in resource-constrained languages like Bengali.
Approach: They propose to use a Bengali dataset to perform multimodal sentiment analysis in low resource languages.
Outcome: The proposed dataset for Bengali contains 4417 memes with three annotated labels positive, negative, and neutral.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations