ttong1013 / nlp_spark

Natural Language Processing with Spark's MLlib

#Natural Language Processing with Spark's ML

##Requires

• Anaconda Python 3.4
  • NLTK
  • langid
  • findspark (for local spark install only)
• Spark 1.6
  • Local install OK

#Example Description

• How to create a Data Science vs Spam classifier for twitter?
• How to choose the right algorithm?
• What do I need to start?

##Use PySpark to preprocess text data

• Language Classification
• Stop Word Removal
• Custom Twitter Specific Clean Up
• Part of Speech Tagging
• Lemmatization/Stemming of Text
• General Cleanup

##Converting text to numerical data with ML Pipelines

• Tokenization
• Term Frequency Hashing
• Inverse Document Frequency

##Training & Testing a Model

• Crossvalidation with ML Pipeline CrossValidator
• Evaluation with ML Pipeline Evaluator

##Watch the Talk

• https://www.youtube.com/watch?v=AsW0QzbYVow