Image and Text Analysis using Multi-modal Embeddings

Justin Chun-ting Ho Project Deep Dive

 

Abstract

While recent years witnessed an increasing use of computational text analysis in communications, the computational analysis of visual content remained a challenging task. Recent advancement in multi-modal embeddings offers promising solutions to conduct automated content analysis on images as well texts. Using an annotated dataset of green influencer posts on Instagram, this project presents and compares various inductive and deductive approaches to use pre-trained multi-modal embeddings for extracting theoretically relevant topics and frames from multi-modal content.

You may also be interested in the accompanying Masterclass for this event.

 

Speaker Biography

Justin Chun-ting Ho is a postdoctoral researcher at the Amsterdam School of Communication Research. Before Amsterdam, he worked at Academia Sinica in Taipei and Sciences Po in Paris. He holds a PhD in Sociology from the University of Edinburgh. His work focuses on nationalism, social media analysis, and computational methods. 

 

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