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Scalable Knowledge Graph Construction from Twitter
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Paper
Scalable Knowledge Graph Construction from Twitter
2019
Overview
We describe a knowledge graph derived from Twitter data with the goal of discovering relationships between people, links, and topics. The goal is to filter out noise from Twitter and surface an inside-out view that relies on high quality content. The generated graph contains many relationships where the user can query and traverse the structure from different angles allowing the development of new applications.
Publisher
Cornell University Library, arXiv.org
Subject
