Data Science: Natural Language Processing (NLP) in Python

Data Science: Natural Language Processing (NLP) in Python

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Data Science: Natural Language Processing (NLP) in Python

Data Science: Natural Language Processing (NLP) in Python, Practical Applications of NLP: spam detection, sentiment analysis, article spinners, and latent semantic analysis.

Created by Lazy Programmer Inc.

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What Will I Learn?

  • Write your own spam detection code in Python
  • Write your own sentiment analysis code in Python
  • Perform latent semantic analysis or latent semantic indexing in Python
  • Have an idea of how to write your own article spinner in Python

Requirements

  • Install Python, it's free!
  • You should be at least somewhat comfortable writing Python code
  • Install numerical libraries for Python such as Numpy, Scipy, Scikit-learn, Matplotlib, and BeautifulSoup
  • Take my free Numpy prerequisites course (it's FREE, no excuses!) to learn about Numpy, Matplotlib, Pandas, and Scikit-Learn, as well as Machine Learning basics
  • Optional: If you want to understand the math parts, linear algebra and probability are helpful

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