generateTDM: Generate term document frequency table from corpus
In ANLP: Build Text Prediction Model
Description
Usage
Arguments
Details
Value
See Also
Description
This function builds term documement sparse matrix
Usage
1
generateTDM(data, N, isTrace = F)
Arguments
data
It can be text corpus/data cleaned by cleanTextData
N
size of n-gram model
isTrace
for debugging purpose, use this if you want to track time to build model.
Details
This function generates terms with N number of words specified in argument. This can be used in many tasks like information retrival, document similarity etc.
Value
term document matrix for terms having N words
See Also
TermDocumentMatrix buildNgramModel
ANLP documentation built on May 30, 2017, 4:42 a.m.
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Description Usage Arguments Details Value See Also
Description
This function builds term documement sparse matrix
Usage
1 | generateTDM(data, N, isTrace = F)
|
Arguments
data |
It can be text corpus/data cleaned by |
N |
size of n-gram model |
isTrace |
for debugging purpose, use this if you want to track time to build model. |
Details
This function generates terms with N number of words specified in argument. This can be used in many tasks like information retrival, document similarity etc.
Value
term document matrix for terms having N words
See Also
TermDocumentMatrix buildNgramModel
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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