reveal-user-classification 0.1.10

Performs user classification into labels using a set of seed Twitter users with known labels andthe structure of the interaction network between them.

Performs user classification into labels using a set of seed Twitter users with known labels and the structure of the interaction network between them.

Features

• Graph-based, multi-label user classification platform.

• Implementation of the ARCTE (Absorbing Regularized Commute Times Embedding) algorithm for graph-based feature extraction.

• Both python vanilla and cython-optimized versions.

• Implementation of other feature extraction methods for graphs (Laplacian Eigenmaps, Louvain, MROC).

• Evaluation score and time benchmarks.

Install

To install for all users on Unix/Linux:

python setup.py build sudo python setup.py install

Alternatively:

pip install reveal-user-classification

Reveal-FP7 Integration

There is one console entry point:

user_network_profile_classifier assessment_id

where assessment_id is the address of a MongoDB instance.

### Configuration The configuration of the [reveal-user-annotation](https://github.com/MKLab-ITI/reveal-user-annotation) project is required. Follow the README instructions.

Experiments

(Section under construction.)