EPISODE · Jun 8, 2019 · 17 MIN
Named Entity Recognition
from Data Skeptic
Kyle and Linh Da discuss the class of approaches called "Named Entity Recognition" or NER. NER algorithms take any string as input and return a list of "entities" - specific facts and agents in the text along with a classification of the type (e.g. person, date, place).
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Named Entity Recognition
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Frequently Asked Questions
How long is this episode of Data Skeptic?
This episode is 17 minutes long.
When was this Data Skeptic episode published?
This episode was published on June 8, 2019.
What is this episode about?
Kyle and Linh Da discuss the class of approaches called "Named Entity Recognition" or NER. NER algorithms take any string as input and return a list of "entities" - specific facts and agents in the text along with a classification of the type (e.g....
Can I download this Data Skeptic episode?
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