A utility to extract world models of information sources.
Project description
# metaparse
This is to be a machine learning project to extract metainformation about information sources, such as agents online that share information.
## Problem specification
Given some data from an information source I, recognize its [intent about content](https://wefindx.net) towards the world, answering following questions about the information source and its information content:
F(domain).assets:
.Agent (who?)
.Place (where?)
.Event (when?)
.Topic (about what?)
X(process).actions:
. doing (doing what?)
Y(range).targets:
.Goal (why?)
.Idea (how in principle?)
.Plan (what specifically?)
.Step (in what order?)
This will allow to treat every information source as an instance of equation optimization process F(X)=Y, where the actions of agents are explained by their intents (Y) about content their world model (F).
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.