Academy & Industry Research Collaboration Center (AIRCC)

Volume 10, Number 05, May 2020

Linking Social Media Posts to News with Siamese Transformers


Jacob Danovitch, Carleton University, Canada


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.


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