lda: filter.words – R documentation

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filter.words

Functions to manipulate text corpora in LDA format.

Description

concatenate.documents concatenates a set of documents. filter.words removes references to certain words from a collection of documents. shift.word.indices adjusts references to words by a fixed amount.

Usage

concatenate.documents(...)
filter.words(documents, to.remove)
shift.word.indices(documents, amount)

Arguments

`...`	For `concatenate.documents`, the set of corpora to be merged. All arguments to `...` must be corpora of the same length. The documents in the same position in each of the arguments will be concatenated, i.e., the new document 1 will be the concatenation of document 1 from argument 1, document 2 from argument 1, etc.
`documents`	For `filter.words` and `shift.word.indices`, the corpus to be operated on.
`to.remove`	For `filter.words`, an integer vector of words to filter. The words in each document which also exist in `to.remove` will be removed.
`amount`	For `shift.word.indices`, an integer scalar by which to shift the vocabulary in the corpus. `amount` will be added to each entry of the word field in the corpus.

Value

A corpus with the documents merged/words filtered/words shifted. The format of the input and output corpora is described in lda.collapsed.gibbs.sampler.

Author(s)

Jonathan Chang (slycoder@gmail.com)

Examples

data(cora.documents)

## Just use a small subset for the example.
corpus <- cora.documents[1:6]
## Get the word counts.
wc <- word.counts(corpus)

## Only keep the words which occur more than 4 times.
filtered <- filter.words(corpus,
                         as.numeric(names(wc)[wc <= 4]))
## [[1]]
##      [,1] [,2] [,3] [,4] [,5]
## [1,]    1   23   34   37   44
## [2,]    4    1    3    4    1
##
## [[2]]
##      [,1] [,2]
## [1,]   34   94
## [2,]    1    1
## ... long output ommitted ...

## Shift the second half of the corpus.
shifted <- shift.word.indices(filtered[4:6], 100)
## [[1]]
##      [,1] [,2] [,3]
## [1,]  134  281  307
## [2,]    2    5    7
##
## [[2]]
##      [,1] [,2]
## [1,]  101  123
## [2,]    1    4
##
## [[3]]
##      [,1] [,2]
## [1,]  101  194
## [2,]    6    3

## Combine the unshifted documents and the shifted documents.
concatenate.documents(filtered[1:3], shifted)
## [[1]]
##      [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8]
## [1,]    1   23   34   37   44  134  281  307
## [2,]    4    1    3    4    1    2    5    7
##
## [[2]]
##      [,1] [,2] [,3] [,4]
## [1,]   34   94  101  123
## [2,]    1    1    1    4
##
## [[3]]
##      [,1] [,2] [,3] [,4] [,5] [,6]
## [1,]   34   37   44   94  101  194
## [2,]    4    1    7    1    6    3

lda

Collapsed Gibbs Sampling Methods for Topic Models

v1.4.2

LGPL

Authors

Jonathan Chang

Initial release

2015-11-22