create_tdm: Create a term-document matrix from preprocessed text
In LBDiscover: Literature-Based Discovery Tools for Biomedical Research
View source: R/alternative_models.R
create_tdm R Documentation
Create a term-document matrix from preprocessed text
Description
This function creates a term-document matrix from preprocessed text data.
Usage
create_tdm(preprocessed_data, min_df = 2, max_df = 0.9)
Arguments
preprocessed_data
A data frame with preprocessed text data.
min_df
Minimum document frequency for a term to be included.
max_df
Maximum document frequency (as a proportion) for a term to be included.
Value
A term-document matrix.
LBDiscover documentation built on June 16, 2025, 5:09 p.m.
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View source: R/alternative_models.R
| create_tdm | R Documentation |
Create a term-document matrix from preprocessed text
Description
This function creates a term-document matrix from preprocessed text data.
Usage
create_tdm(preprocessed_data, min_df = 2, max_df = 0.9)
Arguments
preprocessed_data |
A data frame with preprocessed text data. |
min_df |
Minimum document frequency for a term to be included. |
max_df |
Maximum document frequency (as a proportion) for a term to be included. |
Value
A term-document matrix.
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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