truthdiscovery 1.0.4

Python3 library implementing a selection of truth discoveryalgorithms

truthdiscovery

truthdiscovery is a Python3 library that implements various truth discovery algorithms.

A truth discovery problem consists of

• a number of sources
• a number of objects
• for each source, a set of claims made by the source, with each claim relating to a distinct object

An object may be associated with multiple (conflicting) claims from different sources, in which case it is not clear up front which is the true claim. It is typically assumed that there is only one true claim for each object.

Truth discovery addresses this by using the network of sources, claims and objects to determine the trustworthiness of sources, the belief in each claim, and the true claim for each object.

The general principle for most algorithms is that trustworthy sources make believably claims, and believable claims are made my trustworthy sources.

Most approaches are unsupervised, in that they do not use any prior knowledge for the trustworthiness of sources etc.

Installation

This package should be installed with pip (using Python 3). It is recommended to work in a virtualenv to avoid conflicts with globally-installed packages:

$ git clone <this repo>
$ cd truthdiscovery
$ python3 -m venv venv
$ source venv/bin/activate
$ pip install -e .

Usage and documentation

See the full documentation on readthedocs