A machine learning linear classifier to be used in conjunction with the Scikit-Learn python package
This package is available on Pypi. Just run the following command on terminal to install.
$ pip install vtt
You can also source the code directly from the github project page.
The full documentation can be found at: rionbr.github.io/VTT
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Correia, Rion B., K. N. Chan, & L.M. Rocha [2015]. "Polarization in the US Congress." The 8th Annual Conference of the Comparative Agendas Project (CAP). Lisbon, Portugal, June 23-24, 2015.
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A. Lourenço, M. Conover, A. Wong, A. Nematzadeh, F. Pan, H. Shatkay, and L.M. Rocha [2011]."A Linear Classifier Based on Entity Recognition Tools and a Statistical Approach to Method Extraction in the Protein-Protein Interaction Literature". BMC Bioinformatics. 12(Suppl 8):S12.
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A. Kolchinsky, A. Abi-Haidar, J. Kaur, A.A. Hamed and L.M. Rocha [2010]. "Classification of protein-protein interaction full-text documents using text and citation network features." IEEE/ACM Transactions On Computational Biology And Bioinformatics, 7(3):400-411. DOI: doi.ieeecomputersociety.org/10.1109/TCBB.2010.55
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A. Abi-Haidar, J. Kaur, A. Maguitman, P. Radivojac, A. Retchsteiner, K. Verspoor, Z. Wang, and L.M. Rocha [2008]. Uncovering protein interaction in abstracts and text using a novel linear model and word proximity networks". Genome Biology. 9(Suppl 2):S11