insvorti.blogg.se - Clean text function in r

Clean text function in r driver#
Clean text function in r code#

#' #' library( tm ) #' txt = c( "thhis s! and bonkus 4:33pm and Jan 3, 2015. #' #' tm #' #' bigcorp A tm Corpus object. Non-alpha characters converted to spaces. #' #' #' Changes multiline documents to single line.

Clean text function in r code#

# Get raw data ready to be 'summarized' by textreg C++ function # Based on Robin's version based on Luke's earlier code # 12-9-2012 #' Clean text and get it ready for textreg.

tm_gregexpr: Call gregexpr on the content of a tm Corpus.

textreg-package: Sparse regression package for text that allows for multiple.

textreg: Sparse regression of labeling vector onto all phrases in a.

testCorpora: Some small, fake test corpora.

.files: Save corpus to text (and RData) file.

agments: Sample fragments of text to contextualize a phrase.

: Pretty print results of textreg regression.

: Pretty print results of phrase sampling object.

: Predict labeling with the selected phrases.

: Plot the sequence of features as they are introduced with the.

phrases: Get the phrases from the textreg.result object?.

phrase.matrix: Make matrix of where phrases appear in corpus.

: Calculate similarity matrix for set of phrases.

Returns the specified number of characters from the start of a text string. Converts a value to text according to the specified format. Rounds a number to the specified number of decimals and returns the result as text.

make_search_phrases: Convert phrases to appropriate search string. Returns the starting position of one text string within another text string.

: Make a table of where phrases appear in a corpus.

: Generate visualization of phrase overlap.

: Generate matrix describing gradient descent path of textreg.

make.CV.chart: Plot K-fold cross validation curves.

: Count number of times documents have a given phrase.

: Make phrase appearance matrix from textreg result.

: Graphic showing multiple word lists side-by-side.

is.textreg.result: Is object a textreg.result object?.

is.fragment.sample: Is object a fragment.sample object?.

agments: Grab all fragments in a corpus with given phrase.

: Conduct permutation test on labeling to get null distribution.

Usage clean.text (bigcorp) Arguments bigcorp A tm Corpus object. Description Changes multiline documents to single line.

find.CV.C: K-fold cross-validation to determine optimal tuning parameter clean.text function - RDocumentation (version 0.1.5) clean.text: Clean text and get it ready for textreg.

dirtyBathtub: Sample of raw-text OSHA accident summaries.

Clean text function in r driver#

cpp_textreg: Driver function for the C++ function.cpp_rpus: Driver function for the C++ function.convert.tm.to.character: Convert tm corpus to vector of strings.cluster.phrases: Cluster phrases based on similarity of appearance.clean.text: Clean text and get it ready for textreg.calc.loss: Calculate total loss of model (Squared hinge loss).rpus: Build a corpus that can be used in the textreg call.bathtub: Sample of cleaned OSHA accident summaries.