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nkyparissas/Text_Categorization_using_GMMs
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Pattern Recognition Spring 2018 - Project M. Apostolidou and N. Kyparissas Text Categorization using Gaussian Mixture Models ----------------------------------------------------------------------------- Contents: ----------------------------------------------------------------------------- data : contains training and testing data set results : contains csv files with accuracy results figs : contains figures from performance analysis docs : contains the project report and presentation slides code.py : main code file, to perform training and testing dictionary_sort.py : methods for the initial feature reduction tfidf.py : methods to create tf-idf matrices datAnalysis.py : code to analyze csv results in pandas run_stats.sh : bash script to run code.py and collect accuracy results ----------------------------------------------------------------------------- Execution: ----------------------------------------------------------------------------- To collect results for parameters initial feature reduction: 0 500 1000 1500 2000 2500 3000 svd components: 15 20 25 30 35 40 45 50 gmm components: 1-25 run run_stats.sh To train and test the code run code.py num_initial_feature_reduction num_svd_components num_gmm_components
About
M. Apostolidou (github.com/apostolidoum) and N. Kyparissas, Pattern Recognition coursework at the School of ECE, Technical University of Crete, GR.