DTM.aggr_synonyms: Aggregate redundant terms
In bakaburg1/BaySREn: BaySREn. An R package to automatise citation collection and screening in Systematic Reviews. Based on Bayesian active machine learning
DTM.aggr_synonyms R Documentation
Aggregate redundant terms
Description
Build a term-term network using a cosine similarity measure built on the term
co-presence in documents. A high threshold defined in min.sim is used
to identify edges. The high edge threshold splits the network into multiple
components which identify redundant terms.
Usage
DTM.aggr_synonyms(DTM, min.sim = 0.9)
Arguments
DTM
A Document Term Matrix.
min.sim
The minimal cosine similarity that identifies an edge.
Value
The same input Document Term Matrix with redundant terms removed and
joined into new columns.
bakaburg1/BaySREn documentation built on March 30, 2022, 12:16 a.m.
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| DTM.aggr_synonyms | R Documentation |
Aggregate redundant terms
Description
Build a term-term network using a cosine similarity measure built on the term
co-presence in documents. A high threshold defined in min.sim is used
to identify edges. The high edge threshold splits the network into multiple
components which identify redundant terms.
Usage
DTM.aggr_synonyms(DTM, min.sim = 0.9)
Arguments
DTM |
A Document Term Matrix. |
min.sim |
The minimal cosine similarity that identifies an edge. |
Value
The same input Document Term Matrix with redundant terms removed and joined into new columns.
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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