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.
• English
• English [Auto-generated], Indonesian [Auto-generated], 5 more

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What you'll 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