Scalable Knowledge Graph Construction from Twitter

06/14/2019
by   Omar Alonso, et al.
0

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.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
08/20/2022

gBuilder: A Scalable Knowledge Graph Construction System for Unstructured Corpus

We design a user-friendly and scalable knowledge graph construction (KGC...
research
07/24/2019

Linking Physicians to Medical Research Results via Knowledge Graph Embeddings and Twitter

Informing professionals about the latest research results in their field...
research
02/23/2020

Data Augmentation for Personal Knowledge Graph Population

A personal knowledge graph comprising people as nodes, their personal da...
research
11/14/2019

Auto-encoding a Knowledge Graph Using a Deep Belief Network: A Random Fields Perspective

We started with a knowledge graph of connected entities and descriptive ...
research
10/10/2021

An Analysis of COVID-19 Knowledge Graph Construction and Applications

The construction and application of knowledge graphs have seen a rapid i...
research
01/13/2022

Ontological model identification based on data from heterogeneous sources

The development of a company often entails the emergence of autonomous d...
research
12/04/2020

TrollHunter2020: Real-Time Detection of Trolling Narratives on Twitter During the 2020 US Elections

This paper presents TrollHunter2020, a real-time detection mechanism we ...

Please sign up or login with your details

Forgot password? Click here to reset