negex_token_tagger: Compute Token Series
In CEDARS: Simple and Efficient Pipeline for Electronic Health Record Annotation
Description
Usage
Arguments
Value
Description
Computes negated token series as a function of index, i.e. position of negation item.
Usage
1
negex_token_tagger(index, work_df, negex_depth)
Arguments
index
Position of negation item.
work_df
Working dataframe of NLP annotations.
negex_depth
Maximum distance from index to which negation will spread.
Value
Series of token positions within the working dataframe.
CEDARS documentation built on Feb. 7, 2021, 5:06 p.m.
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Description Usage Arguments Value
Description
Computes negated token series as a function of index, i.e. position of negation item.
Usage
1 | negex_token_tagger(index, work_df, negex_depth)
|
Arguments
index |
Position of negation item. |
work_df |
Working dataframe of NLP annotations. |
negex_depth |
Maximum distance from index to which negation will spread. |
Value
Series of token positions within the working dataframe.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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