Man pages for textreg
n-Gram Text Regression, aka Concise Comparative Summarization
| bathtub | Sample of cleaned OSHA accident summaries. |
| build.corpus | Build a corpus that can be used in the textreg call. |
| calc.loss | Calculate total loss of model (Squared hinge loss). |
| clean.text | Clean text and get it ready for textreg. |
| cluster.phrases | Cluster phrases based on similarity of appearance. |
| convert.tm.to.character | Convert tm corpus to vector of strings. |
| cpp_build.corpus | Driver function for the C++ function. |
| cpp_textreg | Driver function for the C++ function. |
| dirtyBathtub | Sample of raw-text OSHA accident summaries. |
| find.CV.C | K-fold cross-validation to determine optimal tuning parameter |
| find.threshold.C | Conduct permutation test on labeling to get null distribution... |
| grab.fragments | Grab all fragments in a corpus with given phrase. |
| is.fragment.sample | Is object a fragment.sample object? |
| is.textreg.corpus | Is object a textreg.corpus object? |
| is.textreg.result | Is object a textreg.result object? |
| list.table.chart | Graphic showing multiple word lists side-by-side. |
| make.appearance.matrix | Make phrase appearance matrix from textreg result. |
| make.count.table | Count number of times documents have a given phrase. |
| make.CV.chart | Plot K-fold cross validation curves |
| make.list.table | Collate multiple regression runs. |
| make.path.matrix | Generate matrix describing gradient descent path of textreg. |
| make.phrase.correlation.chart | Generate visualization of phrase overlap. |
| make.phrase.matrix | Make a table of where phrases appear in a corpus |
| make_search_phrases | Convert phrases to appropriate search string. |
| make.similarity.matrix | Calculate similarity matrix for set of phrases. |
| path.matrix.chart | Plot optimization path of textreg. |
| phrase.count | Count phrase appearance. |
| phrase.matrix | Make matrix of where phrases appear in corpus. |
| phrases | Get the phrases from the textreg.result object? |
| plot.textreg.result | Plot the sequence of features as they are introduced with the... |
| predict.textreg.result | Predict labeling with the selected phrases. |
| print.fragment.sample | Pretty print results of phrase sampling object. |
| print.textreg.corpus | Pretty print textreg corpus object |
| print.textreg.result | Pretty print results of textreg regression. |
| reformat.textreg.model | Clean up output from textreg. |
| sample.fragments | Sample fragments of text to contextualize a phrase. |
| save.corpus.to.files | Save corpus to text (and RData) file. |
| stem.corpus | Step corpus with annotation. |
| testCorpora | Some small, fake test corpora. |
| textreg | Sparse regression of labeling vector onto all phrases in a... |
| textreg-package | Sparse regression package for text that allows for multiple... |
| tm_gregexpr | Call gregexpr on the content of a tm Corpus. |
