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0

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Good evening,

I have a dataset with a free form text field as one of the variables. Essentially I want to determine if a record has the phrase "This cat is present". However, this phrase could be written "cat is present", "cat-present", "There is a cat", "cat here", "cat here to report", paragraph "cat is present", another paragraph, etc, etc. One issue I see is that I want to exclude situations like "I was outside playing with my friend Bob. It was sunny. It was warm. Cat was present" because this has "useful" context.

Would this boil down to searching this variable for various different phrases with a max character cap, and make the assumption that anything over a certain character limit has "useful context"? Or is there an algorithmic way to provide higher confidence?

python nlp

share

asked 9 mins ago

DataNoob7DataNoob7

193

$endgroup$

add a comment | 

0

$begingroup$

Good evening,

I have a dataset with a free form text field as one of the variables. Essentially I want to determine if a record has the phrase "This cat is present". However, this phrase could be written "cat is present", "cat-present", "There is a cat", "cat here", "cat here to report", paragraph "cat is present", another paragraph, etc, etc. One issue I see is that I want to exclude situations like "I was outside playing with my friend Bob. It was sunny. It was warm. Cat was present" because this has "useful" context.

Would this boil down to searching this variable for various different phrases with a max character cap, and make the assumption that anything over a certain character limit has "useful context"? Or is there an algorithmic way to provide higher confidence?

python nlp

share

asked 9 mins ago

DataNoob7DataNoob7

193

$endgroup$

add a comment | 

$begingroup$

Good evening,

I have a dataset with a free form text field as one of the variables. Essentially I want to determine if a record has the phrase "This cat is present". However, this phrase could be written "cat is present", "cat-present", "There is a cat", "cat here", "cat here to report", paragraph "cat is present", another paragraph, etc, etc. One issue I see is that I want to exclude situations like "I was outside playing with my friend Bob. It was sunny. It was warm. Cat was present" because this has "useful" context.

Would this boil down to searching this variable for various different phrases with a max character cap, and make the assumption that anything over a certain character limit has "useful context"? Or is there an algorithmic way to provide higher confidence?

python nlp

share

asked 9 mins ago

DataNoob7DataNoob7

193

$endgroup$

share

asked 9 mins ago

DataNoob7DataNoob7

193

share

asked 9 mins ago

DataNoob7DataNoob7

193

asked 9 mins ago

DataNoob7DataNoob7

193

asked 9 mins ago

DataNoob7DataNoob7

193