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Linking Social Media Posts to News with Siamese Transformers

Authors

Jacob Danovitch, Carleton University, Canada

Abstract

Many computational social science projects examine online discourse surrounding a specific trending topic. These works often involve the acquisition of large-scale corpora relevant to the event in question to analyze aspects of the response to the event. Keyword searches present a precision-recall trade-off and crowd-sourced annotations, while effective, are costly. This work aims to enable automatic and accurate ad-hoc retrieval of comments discussing a trending topic from a large corpus, using only a handful of seed news articles.

Keywords

Deep Learning, Natural Language Processing, Information Retrieval, Social Media, News Articles.

Full Text  Volume 10, Number 5