Author : Jacob Danovitch
Affiliation : Carleton University
Country : Canada
Category : Computer Science & Information Technology
Volume, Issue, Month, Year : 10, 05, May, 2020
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.
Keyword : Deep Learning, Natural Language Processing, Information Retrieval, Social Media, News Articles.
For More Details : https://aircconline.com/csit/papers/vol10/csit100506.pdf
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