arXiv Open Access 2020

Linking Social Media Posts to News with Siamese Transformers

Jacob Danovitch

Lihat Sumber

Abstrak

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.

Topik & Kata Kunci

cs.IR cs.CL

Penulis (1)

Jacob Danovitch

Format Sitasi

APA MLA BibTeX

Danovitch, J. (2020). Linking Social Media Posts to News with Siamese Transformers. https://arxiv.org/abs/2001.03303

Akses Cepat

Lihat di Sumber

Informasi Jurnal

Tahun Terbit: 2020
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓