NLP Matching

These scripts use NLTK, jellyfish, and spaCy to explore techniques in Natural Language Processing (NLP) and Approximate String Matching.

Name		Name	Last commit message	Last commit date
Latest commit History 83 Commits
controller		controller
recap		recap
README.md		README.md
countries.json		countries.json
country_text.txt		country_text.txt
doubleMetaphone.py		doubleMetaphone.py
jellyFishTest.py		jellyFishTest.py
numPyTemp.py		numPyTemp.py
products.csv		products.csv
products.txt		products.txt
products_DescriptionOnly.csv		products_DescriptionOnly.csv
products_DescriptionOnly_short.csv		products_DescriptionOnly_short.csv
spacy_10_debuggingPatterns.py		spacy_10_debuggingPatterns.py
spacy_11_efficientPhraseMatching_2.py		spacy_11_efficientPhraseMatching_2.py
spacy_12_efficientPhraseMatching_3.py		spacy_12_efficientPhraseMatching_3.py
spacy_1_basicFeatures.py		spacy_1_basicFeatures.py
spacy_2_theMatcher.py		spacy_2_theMatcher.py
spacy_3_vocabLexemeStringStore.py		spacy_3_vocabLexemeStringStore.py
spacy_4_docSpanEntity.py		spacy_4_docSpanEntity.py
spacy_5_dataStructures.py		spacy_5_dataStructures.py
spacy_6_wordVectors_semanticSimilarity.py		spacy_6_wordVectors_semanticSimilarity.py
spacy_7_combiningModelsAndRules.py		spacy_7_combiningModelsAndRules.py
spacy_8_addingStatisticalPredictions.py		spacy_8_addingStatisticalPredictions.py
spacy_9.5_myMatcherNo1.py		spacy_9.5_myMatcherNo1.py
spacy_9_efficientPhraseMatching.py		spacy_9_efficientPhraseMatching.py

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