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