GSP_for_NLP | wavelets michael kellman , matt bauch , raymond xia

GSP_for_NLP is a Python library. GSP_for_NLP has no bugs, it has no vulnerabilities and it has low support. However GSP_for_NLP build file is not available. You can download it from GitHub.

wavelets michael kellman, matt bauch, raymond xia. this is the readme for the code written for the class project. this outlines the code governing the results of the project. please read the technical document for more infromation. important files: python/ lgs.py creates point-wise mutual information graphs brown_test.py generates and saves training graphs and testing histograms. see first couple lines of script to fix the parameters. dict_gen.py parses and tokenizes articles into a usable list of words and returns dictionaries that are useful for graph generation matlab/ hist_graph_classifier.m this script evaluates the main result of the project and can be ran to generate results. it handles reading in files, decomposing graphs, projecting graph signal on to decomposition, training svm, tuning svm, testing classifier, and cross validating results. see first couple lines of script to fix the parameters. bows_classifer.m this script evaluates the baseline results of the project.