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Re-learning regexes to help with NLP

alanbuxton.wordpress.com · published 13 September 2018

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https://dandelion.eu
dandelion.eu
https://dandelion.eu/semantic-text/entity-extraction-demo/?text=Takeda+is+a+gerbil&lang=en&min_confidence=0.6&exec=true
dandelion.eu
https://dandelion.eu/semantic-text/entity-extraction-demo/?text=Takeda+eats+barley+from+Shire&lang=en&min_confidence=0.6&exec=true
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https://dandelion.eu/semantic-text/entity-extraction-demo/?text=Takeda+buys+goods+from+Shire&lang=en&min_confidence=0.6&exec=true
dandelion.eu
https://dandelion.eu/semantic-text/entity-extraction-demo/?text=Polish+media+and+telecoms+group+Cyfrowy+Polsat+(CPS.WA
dandelion.eu
https://ca.finance.yahoo.com/quote/CPS.WA/history
ca.finance.yahoo.com
http://scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.CountVectorizer.html
scikit-learn.org
https://stackoverflow.com/questions/9525993/get-consecutive-capitalized-words-using-regex
stackoverflow.com
https://www.regular-expressions.info/repeat.html
regular-expressions.info
https://www.regular-expressions.info/refcapture.html
regular-expressions.info
https://regex101.com/r/dWpJ8D/1/
regex101.com
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