Andrew kes1

## Playing with NLTK and Stanford NER.md

      
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                obahareth
                /  Playing with NLTK and Stanford NER.md
            
            
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              October 23, 2020 11:04
            
              
                Playing around with NER using Stanford's NER and NLTK
              
          
    Description

I'm playing around with NER (Named Entity Recognition) and the basic idea is that I can pass in multiple paragraphs and get recognized entities in a nicely formatted dictionary of lists.
I might look into running the Java servelet that stanford made to increase performance.
Example Output

{
  'organizations': ['Wall', 'Street', 'Journal', 'Apple', 'Inc.', 'Apple', 'TV', 'Apple', 'Mac', 'App', 'Store', 'Apple', 'Computer', ',', 'Inc.', 'Apple', 'Inc.', 'National', 'Hockey', 'League', 'Montreal', 'Canadiens', 'Stanley', 'Cups', 'Toronto', 'Blue', 'Jays'],
 'locations': ['France', 'Cupertino', 'California'],

  
## avregex.md

      
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                eightyknots
                / avregex.md
            
            
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              March 20, 2024 20:05
            
              
                AvReg: Aviation regex match toolkit
              
          
    AvReg: The Aviation RegEx Match Toolkit

General Tips


The PCRE flavour of RegEx is used here.
Append the i modifier to the end of the regex to make any pattern case-insensitive.

Aircraft

| Purpose             | Description               | RegEx                   | Example         |