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LinkedIn Learning

Processing Text with Python Essential Training

via LinkedIn Learning

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Overview

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Learn the essential techniques for cleansing and processing text in Python. Discover how to convert text to a form that's ready for analytics and predictions.

Syllabus

Introduction
  • The need for text mining skills in data science
1. Text Mining
  • Text mining today
  • Document concepts
  • Corpus concepts
  • Introduction to the NLTK library
  • Setting up the environment
2. Reading Text
  • Reading raw files
  • Reading files with corpus reader
  • Exploring the corpus
  • Analyzing the corpus
3. Text Cleansing and Extraction
  • Tokenization
  • Cleansing text
  • Stop word removal
  • Stemming
  • Lemmatization
4. Advanced Text Processing
  • Building n-grams
  • Tagging parts of speech
  • Term frequency-inverse document frequency (TF-IDF)
  • Building a TF-IDF matrix
5. Best Practices
  • Storing text
  • Processing text data
  • Scalable processing of text data
Conclusion
  • Next steps

Taught by

Kumaran Ponnambalam

Reviews

4.6 rating at LinkedIn Learning based on 210 ratings

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