tag_smartly: Tag topics based on known documents
In elizagrames/topictagger: Automated Topic and Metadata Tagging for Evidence Synthesis
Description
Usage
Arguments
Value
Description
Given a set of documents tagged with topics and a set of new documents, tags new documents by learning characteristics of topics from existing tagged documents.
Usage
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tag_smartly(
new_documents,
tagged_documents,
tags,
cutoff = NULL,
prop_training = 0.7
)
Arguments
new_documents
a character vector of documents to tag
tagged_documents
a character vector of documents
tags
a character vector of tags of the same length as tagged_documents
cutoff
numeric: what cutoff should be used for probability of being included in a topic? If NULL, finds the optimal cutoff for model accuracy in training data.
prop_training
numeric: what proportion of tagged_documents should be used for training? Remaining proportion will be used for model testing.
Value
a character vector of tags of length equal to new_documents
elizagrames/topictagger documentation built on Jan. 1, 2021, 12:16 a.m.
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Description Usage Arguments Value
Description
Given a set of documents tagged with topics and a set of new documents, tags new documents by learning characteristics of topics from existing tagged documents.
Usage
1 2 3 4 5 6 7 | tag_smartly(
new_documents,
tagged_documents,
tags,
cutoff = NULL,
prop_training = 0.7
)
|
Arguments
new_documents |
a character vector of documents to tag |
tagged_documents |
a character vector of documents |
tags |
a character vector of tags of the same length as tagged_documents |
cutoff |
numeric: what cutoff should be used for probability of being included in a topic? If NULL, finds the optimal cutoff for model accuracy in training data. |
prop_training |
numeric: what proportion of tagged_documents should be used for training? Remaining proportion will be used for model testing. |
Value
a character vector of tags of length equal to new_documents
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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