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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%
information-theory entropy cross-entropy kullback-leibler-divergence kl-divergence jensen-shannon-divergence js-divergence text-preprocessing shell-command naive-bayes-classifier

natural-language-processing's Introduction

Natural Language Processing

  1. Information-theoretic measures of distributional similarity
    • Entropy
    • Cross entropy
    • Kullback-Leibler divergence
    • Jensen-Shannon divergence
  2. Text preprocessing using Shell commands
  3. Naive Bayes text categorization model
  4. Cocke-Younger-Kasami parsing implementation

HW1 - Information-theoretic measures of distributional similarity

  • Entropy

* 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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chandnii7 avatar patelc52 avatar

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