7VORTEX: Systems Thinking Powered by Graph Technology
By Bryce Merkl Sasaki | October 10, 2017
The success of many enterprises greatly depends on their ability to gather useful information and process it in a timely manner. Automation is essential and so is presentation, giving tangible feedback, to decision makers. This is where technology reaches out… Learn More →
Keywords: biology • Connected Data • graph algorithms • graph technology • graph visualization • GraphAware • graphconnect • natural language processing • nlp • PageRank
This Week in Neo4j – 7 October 2017
By Mark Needham | October 7, 2017
Welcome to this week in Neo4j where we round up what’s been happening in the world of graph databases in the last 7 days. Featured Community Member: Michal Bachman This week’s featured community member is Michal Bachman, founder and Managing… Learn More →
Keywords: data science • eBay • facebook • GraphAware • Knowledge Graph • natural language processing • nlp • twin4j
Accelerating Scientific Research through Machine Learning and Graphs
By Joy Chao | May 22, 2017
Editor’s Note: This presentation was given by Jorge Soto and Antonio Molins at GraphConnect San Francisco in October 2016. Here’s a quick review of what they covered: Introduction to the role of microRNA Monitoring microRNAs Applying the method to stomach… Learn More →
Keywords: breast cancer • data analysis • graphconnect • Hadoop • Hive • machine learning • microfluidics • microRNA • natural language processing • stomach cancer
This Week in Neo4j – 6 May 2017
By Mark Needham | May 6, 2017
Welcome to this week in Neo4j where we round up what’s been happening in the world of graph databases in the last 7 days. Featured Community Member: Alessio De Angelis This week’s featured community member is Alessio De Angelis, an… Learn More →
Keywords: amazon alexa • APOC • cypher • graphconnect • natural language processing • python • twin4j • twitter • vis.js
Relevant Search Leveraging Knowledge Graphs with Neo4j
By Bryce Merkl Sasaki | May 5, 2017
“Relevance is the practice of improving search results for users by satisfying their information needs in the context of a particular user experience, while balancing how ranking impacts business’s needs.”[1] Providing relevant information to the user performing search queries or… Learn More →
Keywords: artificial intelligence • conceptnet • ecommerce • elasticsearch • Knowledge Graph • machine learning • natural language processing • product catalog • Recommendation Engine • user experience
The 5-Minute Interview: Christophe Willemsen, Senior Consultant at GraphAware
By Rachel Howard | November 25, 2016
For this week’s 5-Minute Interview, I chatted with Christophe Willemsen, Senior Neo4j Consultant at GraphAware in London. Christophe and I spoke at GraphConnect San Francisco last October. Here’s what we discussed: Talk to me about how you use Neo4j. I’m… Learn More →
Keywords: 5-minute interview • Airbnb • apache spark • cypher • elasticsearch • GraphAware • JVM • natural language processing • Recommendation Engine • relational database
Using NLP + Neo4j for a Social Media Recommendation Engine
By Bryce Merkl Sasaki | October 4, 2016
GraphAware is a Gold sponsor of GraphConnect San Francisco. Meet their team on October 13-14th at the Hyatt Regency SF. Introduction In recent years, the rapid growth of social media communities has created a vast amount of digital documents on… Learn More →
Keywords: conceptnet • document database • document modeling • elasticsearch • GraphAware • natural language processing • nlp • Recommendation Engine • social media • text analysis
Your Technical Documentation Should Be a Graph: Here’s Why
By Bryce Merkl Sasaki | April 25, 2016
TL;DR: This blog post is mainly about how technical documentation should ideally be structured: as a graph (not to be confused with a chart). As a software developer and author I have had the chance (and also the obligation) to… Learn More →
Keywords: github • graph • graphconnect • Knowledge Graph • natural language processing • nlp • software developer • stack overflow • Structr • technical documentation
How Backstory.io Uses Neo4j to Graph the News [Community Post]
By Bryce Merkl Sasaki | December 1, 2015
[As community content, this post reflects the views and opinions of the particular author and does not necessarily reflect the official stance of Neo4j.] Backstory is a news exploration website I co-created with my friend Devin. The site automatically organizes… Learn More →
Keywords: cypher • graph model • java • key value store • natural language processing • Neo4j Browser • neo4j embedded • news • python • relational database
From the Neo4j Community: June 2015
By Bryce Merkl Sasaki | July 9, 2015
Our community is awesome! Here are some of the highlights of what all the graphistas posted during the month of June. Thank you to everyone who contributed to help make our community great! To see more posts from our amazing… Learn More →
Keywords: apache spark • community • docker • fraud detection • graph database • natural language processing • neo4j • ruby • Spring Data • wordpress
Deep Learning Sentiment Analysis for Movie Reviews using Neo4j
By Bryce Merkl Sasaki | September 18, 2014
This post was originally published on Kenny Bastani’s blog. Sentiment analysis uses natural language processing to extract features of a text that relate to subjective information found in source materials. Movie Review Sentiment Analysis A movie review website allows users… Learn More →
Keywords: deep learning • Kenny Bastani • movie review • natural language processing • neo4j • nlp • sentiment analysis
And Now for Something Completely Different: Using OWL with Neo4j
By Neo4j Staff | August 21, 2013
[As community content, this post reflects the views and opinions of the particular author and does not necessarily reflect the official stance of Neo4j.] Why Would You Want to Do This? The Web Ontology Language (OWL) has been around for… Learn More →
Keywords: graph database • natural language processing • neo4j • ontology • owl • owl api • prov-o • sparql • sql • triple stores
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