I started with the text of the Bible, which I got from Open Bible from Bible Hub Then I sent it to through the natural language processing engine, CoreNLP (described below). Then I transformed the data so it could be processed through the visualization software (also described below). Then came the laborious process of data corrections, fine-tuning the results, and adding features to the dashboard. It's a never-ending task.

Story Analyzer's Bible dashboard is greatly facilitated through the use of natural language processing (NLP) and data visualization. NLP is done by Stanford's CoreNLP software library. This does many useful things, as shown below. Beware, though. CoreNLP (and AI in general) sometimes makes mistakes. So there was a lot of work in correcting these errors.

The interactive visualizations are created through Data Driven Documents (d3) visualizations, Google charts and Google maps.

Obviously, we start with the Bible itself. See this text file.

A lot of my research was done via Wikipedia, which has tons of articles about biblical characters, places, and the biblical canon. As you can see by perusing the dashboard, I incorporate links to many of these sources.

For the information depicting the approximate Bible's timeline in Story Analyzer's dashboard, and some themes of various sections of old- and new-testament books, I used three main websites: Dan's Faithweb, the Colorado District Church of the Nazarene, and Bible Hub. In particular, Bible Hub's Open Bible website is a rich source for anyone interested in studying the bible.

Of course, the web is replete with sources of biblical scholarship, commentary, and other media. The above stuff is what I used for my dashboard, which I like to consider as another lens on looking at the Bible. Thanks for the efforts of all the folks who preceded me.