# Scalable Knowledge Graph Construction from Twitter

arXiv: https://arxiv.org/abs/1906.05986 · HTML: https://mlsanity.com/paper/1906.05986/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 14 Jun 2019.

## Built on by (most cited first, 1 of 1)

- [Community Learning: Understanding A Community Through NLP for Positive Impact](https://mlsanity.com/paper/2210.00590/) (2022)

## Abstract (arXiv)

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.
