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NLP implementations like information-theoretic measures of distributional similarity, text preprocessing using shell commands, Naive Bayes text categorization model, Cocke-Younger-Kasami parsing.
License: MIT License
Jupyter Notebook 64.45%
Python 32.69%
Shell 2.86%
natural-language-processing's Introduction
Natural Language Processing
Information-theoretic measures of distributional similarity
Entropy
Cross entropy
Kullback-Leibler divergence
Jensen-Shannon divergence
Text preprocessing using Shell commands
Naive Bayes text categorization model
Cocke-Younger-Kasami parsing implementation
HW1 - Information-theoretic measures of distributional similarity
* Cross entropy
* Kullback-Leibler divergence
* Jensen-Shannon divergence
HW2 - Text preprocessing using Shell commands
HW3 - Naive Bayes text categorization model
HW4 - Cocke-Younger-Kasami parsing implementation
natural-language-processing's People
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