I can't see people going through the trouble of manually tagging large amounts of text this way, but I think this might be an interesting machine learning project. Given a book's text, figure out...
I can't see people going through the trouble of manually tagging large amounts of text this way, but I think this might be an interesting machine learning project. Given a book's text, figure out the prerequisite graph based on the vocabulary used.
As a developer who had occasionally (very very casually) dabbled in creative writing, I've often wondered how authors keep track of large complex plots with many characters. I'm sure there are...
As a developer who had occasionally (very very casually) dabbled in creative writing, I've often wondered how authors keep track of large complex plots with many characters. I'm sure there are recommended ways to do it, but I've never delved into it. This kind of programming/writing intersection appeals to my brain.
I use charts, outlines (Org Mode), character sheets, beat sheets, a whole bunch of notes and good old text searching. Most screenwriting software have especial features to navigate characters...
I use charts, outlines (Org Mode), character sheets, beat sheets, a whole bunch of notes and good old text searching.
Most screenwriting software have especial features to navigate characters lines and scenes.
You also should know that, even in most stories with a bunch of characters, usually only a few of them really matter.
I kinda think that jupyter notebooks have been a pretty common successor to literate programming. We also have literate programming tools for F#, and they are used by some, however I also think...
I kinda think that jupyter notebooks have been a pretty common successor to literate programming. We also have literate programming tools for F#, and they are used by some, however I also think the overhead is too much for some projects/tasks.
I can't see people going through the trouble of manually tagging large amounts of text this way, but I think this might be an interesting machine learning project. Given a book's text, figure out the prerequisite graph based on the vocabulary used.
As a developer who had occasionally (very very casually) dabbled in creative writing, I've often wondered how authors keep track of large complex plots with many characters. I'm sure there are recommended ways to do it, but I've never delved into it. This kind of programming/writing intersection appeals to my brain.
I use charts, outlines (Org Mode), character sheets, beat sheets, a whole bunch of notes and good old text searching.
Most screenwriting software have especial features to navigate characters lines and scenes.
You also should know that, even in most stories with a bunch of characters, usually only a few of them really matter.
I kinda think that jupyter notebooks have been a pretty common successor to literate programming. We also have literate programming tools for F#, and they are used by some, however I also think the overhead is too much for some projects/tasks.
Jupyter vs Org-mode.
What is the difference ?
One runs in the web browser I guess. Org mode is quite good. I just tend to see more jupyter in my personal experience.