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Natural Language Processing (NLP) with NLTK

( Duration: 5 Days )

NLTK provides easy-to-use interfaces to over 50 corpora and lexical resources such as WordNet, along with a suite of text processing libraries for text classification, tokenisation, stemming, lemmatisation, par-of-speech (POS) tagging, parsing, and semantic reasoning. The Natural Language Processing (NLP) with NLTK training course will teach you how to use NLTK effectively.

By attending Natural Language Processing (NLP) with NLTK workshop, delegates will learn:

  • Basic text analysis with NLTK
  • Text Classification
  • Integration with Scikit-Learn classifiers
  • Gensim
  • Word2Vec

Experience with Python language is highly recommended.

This Natural Language Processing (NLP) with NLTK class is designed for Software Engineers, Data Scientists, Data Analysts, Researchers.



Get Started on NLP and NLTK

  • What is NLP?
  • NLP Frameworks
  • Basic Text Analysis with Python
  • What is NLTK?
  • Install NLTK

Text Analysis with NLTK

  • Tokenize Words and Sentences
  • Stop Words
  • Regular Expression
  • Stemming
  • Lemmatizing
  • Part-of-Speech (POS) Tagging
  • Chucking

NLTK Corpus

  • What is Corpus?
  • Popular NLTK Corpus
  • Your Own Corpus
  • Frequency Distribution

Text Classification

  • What is Machine Learning?
  • Text Classification
  • Save and Load Model
  • Scikit Learn Classifiers
  • N-gram Models

Word Embedding

  • What is Word Embedding
  • Word2Vec & Glove
  • CBOW and Skip-gram Models
  • Word2Vec Training with Gensim
  • Pre-trained Word2Vec Model

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