Place to put stuff we are working on for parsing and analyzing the Billboard corpus
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ClusterData
ClusterDataReverse
ClusterizedData
McGill-Billboard
OutputClusterizedData
.gitignore
4Bars_0thPower.py
4Bars_PerSong_EachBar.py
4_5_BarPhrases_AllData.py
AlldataWithNonHarmonics.csv
ConfidenceIntervalChordOccurrenceProbabilities0.csv
ConfidenceIntervalChordOccurrenceProbabilities1.csv
ConfidenceIntervalChordOccurrenceProbabilities2.csv
ConfidenceIntervalChordOccurrenceProbabilities3.csv
ConfidenceIntervalTransitionalProbabilities0.csv
ConfidenceIntervalTransitionalProbabilities1.csv
ConfidenceIntervalTransitionalProbabilities2.csv
ConfidenceIntervalTransitionalProbabilities3.csv
CorpusClusterData.numbers
LICENSE.md
MarkDownTables.txt
README.md
clusterize.py
confidence.py
form_tagger.py
meanChordOccurrenceProbabilities0.csv
meanChordOccurrenceProbabilities1.csv
meanChordOccurrenceProbabilities2.csv
meanChordOccurrenceProbabilities3.csv
meanTransistionProbabilities0.csv
meanTransistionProbabilities1.csv
meanTransistionProbabilities2.csv
meanTransistionProbabilities3.csv
output.csv
output0th%.csv
output3.txt
output4bars.csv
outputeachsongperbar.csv
outputrev.csv
outputrev.txt
parse.py
readdata.py
run.sh
transition_probability-bysongReverse.py
transition_probability-songBySongAverage.py
transition_probability-whole_corpus.py
transition_probability_for_differing_phrases.py

README.md

billboardcorpus

This repo is designed to hold our parsing and analysis software for the Billboard corupus.