GraphConnect 2018

* Please note, this is a full day course. To attend Part 2, you must also register for Part 1.

DESCRIPTIONIn this full day training, attendees will learn basic Natural Language Processing concepts and how graphs serve as a natural storage of the hidden structure in textual data, as well as a processing framework for extracting insights from it. Using GraphAware NLP extensions on top of Neo4j, the workshop teaches how to perform complex text processing tasks using pure Cypher, directly from the Neo4j Browser.

At the end of this training, attendees will be able to:
- Import and parse unstructured documents such as PDF, Powerpoint documents, json files, etc.
- Perform fundamental Natural Language Processing operations like tokenization, stemming, and lemmatization
- Represent a corpus in different graph data models
- Build knowledge graphs from textual data sources
- Find relevant text information such as keywords and topics leveraging graph-based algorithms
- Build a similarity/dissimilarity graph of paragraphs/documents/sentences
- Extract insights from textual data in both unsupervised and supervised manner
- Integrate Neo4j with ElasticSearch to deliver Relevant Search

As a pre-requisite, attendees should have a basic knowledge of Neo4j and Cypher.



* All workshops are hands-on. Please bring your own laptop and charger to training day. Pre-register for the workshops you'd like to attend by clicking "Add to My Sched"