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Text-Processing

FREEMIUM
By Jacob | Updated vor 7 Tagen | Text Analysis
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Obama is an ORG?

Rapid account: Jdimm
jdimm
vor 10 Jahren

Input to NER tagger: Barack Obama and Clinton

Output:
{
“text”: “(S\n (PERSON Barack/NNP)\n (ORGANIZATION Obama/NNP)\n and/CC\n (PERSON Clinton/NNP))”
}

I’ll try some more, but this is a pretty easy test case. You must have seen “Barack Obama” frequently in training data.

Rapid account: Jdimm
jdimm Commented vor 10 Jahren

Another test: Barack Obama and Hilary Clinton and Mitt Romney and Michele Obama and Barack Obama

That gets all but the first “Obama”. The “Barack Obama” at the end of the string is correctly identified.

Rapid account: Japerk
japerk Commented vor 10 Jahren

NER tends to work better in a real context instead of just lists of names. But my models are also trained on somewhat old data, so I’m not sure they’ve actually encountered Obama specifically.

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