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Found 7 papers, 5 papers with code
Improving Multimodal Classification of Social Media Posts by Leveraging Image-Text Auxiliary Tasks
However, prior work on multimodal classification of social media posts has not yet addressed these challenges.
A Multimodal Analysis of Influencer Content on Twitter
Influencer marketing involves a wide range of strategies in which brands collaborate with popular content creators (i. e., influencers) to leverage their reach, trust, and impact on their audience to promote and endorse products or services.
Sheffield's Submission to the AmericasNLP Shared Task on Machine Translation into Indigenous Languages
In this paper we describe the University of Sheffield's submission to the AmericasNLP 2023 Shared Task on Machine Translation into Indigenous Languages which comprises the translation from Spanish to eleven indigenous languages.
Combining Humor and Sarcasm for Improving Political Parody Detection
Parody is a figurative device used for mimicking entities for comedic or critical purposes.
Point-of-Interest Type Prediction using Text and Images
Point-of-interest (POI) type prediction is the task of inferring the type of a place from where a social media post was shared.
Analyzing Online Political Advertisements
Finally, we provide an in-depth analysis of the limitations of our best-performing models and linguistic analysis to study the characteristics of political ads discourse.
Point-of-Interest Type Inference from Social Media Text
Physical places help shape how we perceive the experiences we have there.
