Ted4j is a Neo4j GraphDB based collection of past TED speeches.
Mainly for 2 reasons:
- Let you analyse relationships in TED world, such as shortest paths between authors, common talk themes and so on... A sort of little PoC of GraphDB potentials
- Play with Neo4j and Python, during a boring evening
Ted4j is based on:
- TED (obviously), as data source
- Neo4j, for data storage and analysis purposes
- Python 3.6, for data extraction from TED and load to Neo4j.
- Scrapy library, for information extraction and web scraping
- Neo4j Python Driver library, for Neo4j interface and load
Right now, I'll not load Python script to GitHub: it's really rough and doesn't bring any added value.
You can install Ted4j DB in 5 steps as follows.
First, download and install Neo4j Desktop. Notice that Ted4j has been tested on Neo4j 3.3.4. I suggest you to download Neo4j Desktop and then to deploy a new GraphDB instance using the Neo4j 3.3.4.
Download the dump file that contains the whole GraphDB in a local folder (e.g., Download).
Open Neo4j Desktop previously installed. On the main screen, create a new project (eg: "Ted4j"). Inside your new project, click on "Create a Local Graph" and set a preferred name and a password. Keep in mind to select version 3.3.4, to make sure it will be compatible with Ted4j dump file. Don't start your DB, for now: we need it to be stopped to allow you to restore the dump file
On your GraphDB project page, press "Manage" and then "Terminal". Here, write: bin/neo4j-admin load --from=<path_to_your_donwload_folder>/Ted4j.dump --force. This command will restore Ted4j on your DB. This operation may take a while. Please do not close the window while running.
Just press the Start button to run your Ted4j instance. Then click on "Open Browser" to access Neo4j Desktop Browser and navigate.