About: SESAM at SemEval-2020 Task 8: Investigating the relationship between image and text in sentiment analysis of memes

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type	http://eprints.org/ontology/ConferenceItemEPrint http://eprints.org/ontology/EPrint Article Academic Article
seeAlso	HTML Summary of #82204 SESAM at SemEval-2020 Task 8: Investigating the relationship between image and text in sentiment analysis of memes
http://eprints.org/ontology/hasAccepted	SESAM at SemEval-2020 Task 8: Investigating the relationship between image and text in sentiment analysis of memes (PDF)
http://eprints.org/ontology/hasDocument	SESAM at SemEval-2020 Task 8: Investigating the relationship between image and text in sentiment analysis of memes (PDF) SESAM at SemEval-2020 Task 8: Investigating the relationship between image and text in sentiment analysis of memes (Other) SESAM at SemEval-2020 Task 8: Investigating the relationship between image and text in sentiment analysis of memes (Other) SESAM at SemEval-2020 Task 8: Investigating the relationship between image and text in sentiment analysis of memes (Other) SESAM at SemEval-2020 Task 8: Investigating the relationship between image and text in sentiment analysis of memes (Other) SESAM at SemEval-2020 Task 8: Investigating the relationship between image and text in sentiment analysis of memes (Other) SESAM at SemEval-2020 Task 8: Investigating the relationship between image and text in sentiment analysis of memes (PDF) SESAM at SemEval-2020 Task 8: Investigating the relationship between image and text in sentiment analysis of memes (Other) SESAM at SemEval-2020 Task 8: Investigating the relationship between image and text in sentiment analysis of memes (Other) SESAM at SemEval-2020 Task 8: Investigating the relationship between image and text in sentiment analysis of memes (Other) SESAM at SemEval-2020 Task 8: Investigating the relationship between image and text in sentiment analysis of memes (Other) SESAM at SemEval-2020 Task 8: Investigating the relationship between image and text in sentiment analysis of memes (Other)
http://eprints.org/ontology/hasPublished	SESAM at SemEval-2020 Task 8: Investigating the relationship between image and text in sentiment analysis of memes (PDF)
dc:hasVersion	SESAM at SemEval-2020 Task 8: Investigating the relationship between image and text in sentiment analysis of memes (PDF) SESAM at SemEval-2020 Task 8: Investigating the relationship between image and text in sentiment analysis of memes (PDF)
Title	SESAM at SemEval-2020 Task 8: Investigating the relationship between image and text in sentiment analysis of memes
described by	https://demo.openlinksw.com/about/id/entity/https/www.cs.kent.ac.uk/people/staff/akj22/materials/CO644/export_kar_RDFN3.n3
Date	2020-12
Creator	Lisa Bonheme Marek Grzes
status	peer reviewed published
abstract	This paper presents our submission to task 8 (memotion analysis) of the SemEval 2020 competition. We explain the algorithms that were used to learn our models along with the process of tuning the algorithms and selecting the best model. Since meme analysis is a challenging task withtwo distinct modalities, we studied the impact of different multimodal representation strategies. The results of several approaches to dealing with multimodal data are therefore discussed in the paper. We found that alignment-based strategies did not perform well on memes. Our quantitative results also showed that images and text were uncorrelated. Fusion-based strategies did not show significant improvements and using one modality only (text or image) tends to lead to better results when applied with the predictive models that we used in our research.
Is Part Of	https://kar.kent.ac.uk/id/repository
Subject	Q335 Artificial intelligence
list of authors	https://kar.kent.ac.uk/id/eprint/82204#authors
presented at	14th International Workshop on Semantic Evaluation (SemEval-2020)
is topic of	https://www.cs.kent.ac.uk/people/staff/akj22/materials/CO644/export_kar_RDFN3.n3
is primary topic of	HTML Summary of #82204 SESAM at SemEval-2020 Task 8: Investigating the relationship between image and text in sentiment analysis of memes

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