2020-04-24 Loren Collingwood * DESCRIPTION: Release 1.4.3 * Dropped Maxent as dependency * Adjusted examples and rd files to drop maxent * Added in as.compressed.matrix() into RTextTools (was from Maxent) * Fixed Acronym to acronym in create_matrix 2014-01-12 Timothy P. Jurka * DESCRIPTION: Release 1.4.2 * Fixed import issues to work with R 3.0.2 * Updated DESCRIPTION file * Updated NAMESPACE file 2012-09-21 Timothy P. Jurka * DESCRIPTION: Release 1.4.0 * Requires 2.15+ to accomodate add-ons that use Rcpp. * Fixed issues with cross validation * Added demos * Updated DESCRIPTION file 2012-07-09 Timothy P. Jurka * DESCRIPTION: Release 1.3.9 * Changed create_corpus to create_container to avoid confusion with package tm. * Added summary function for analytics (both virgin and non-virgin). * Added support for data() for built-in data sets (e.g. data(USCongress), data(NYTimes)). * Updated DESCRIPTION file 2012-05-12 Timothy P. Jurka * DESCRIPTION: Release 1.3.8 * Added support for Italian stemmers * Removed unnecessary data files * Updated DESCRIPTION file 2012-04-01 Timothy P. Jurka * DESCRIPTION: Release 1.3.7 * Fixed create_matrix() function bug regarding stemming * Added Rstem into RTextTools for easier installation from CRAN * Added support for reading from folders to read_data() function * Optimized recall_accuracy() function * Removed support for ODBC connections due to multiple bugs * Updated DESCRIPTION file * Updated NAMESPACE file 2012-02-01 Timothy P. Jurka * DESCRIPTION: Release 1.3.6 * Fixed create_matrix() calls to tm API * Fixed default ngramLength as 1, not 0 * Added maxDocFreq and maxWordLength parameters * Updated DESCRIPTION file 2012-01-16 Timothy P. Jurka * DESCRIPTION: Release 1.3.5 * Added support for text labels for all algorithms * Added support for NULL values in trainSize and testSize for create_corpus() * Added example for using saved models to classify data * Fixed bugs relating to originalMatrix parameter * Optimized originalMatrix matrix recombination * Updated DESCRIPTION file 2012-01-10 Timothy P. Jurka * DESCRIPTION: Release 1.3.4 * Added originalMatrix parameter to create_matrix() * Updated DESCRIPTION file 2012-01-05 Timothy P. Jurka * DESCRIPTION: Release 1.3.3 * Optimized create_analytics() function * Optimized create_matrix() function * Optimized create_ensembleSummary() function * Fixed bugs related to overlapping corpus indices * Updated DESCRIPTION file 2011-12-05 Timothy P. Jurka * DESCRIPTION: Release 1.3.2 * Added CITATION * Fixed bugs with maxent function in cross_validate() * Fixed memory leak when dealing with factors instead of vectors * Updated train_models() function to support new maxent implementation * Updated DESCRIPTION file 2011-08-23 Timothy P. Jurka * DESCRIPTION: Release 1.3.1 * Added ChangeLog * Added inst/ * Added inst/examples * Removed RTextTools-internal.R * Removed accuracy.R * Removed confusion_create.R * Removed dtm_to_sparsem.R (see as.compressed.matrix in package maxent) * Removed read_access.R * Removed score_classify.R * Updated LogitBoost train function to prevent certain bugs in Linux 2011-08-22 Timothy P. Jurka * DESCRIPTION: Release 1.3 * Added create_scoreSummary() * Added create_scoreSummary() documentation * Added Rstem as a CRAN package * Removed score_classify() * Removed references to Naive Bayes in the documentation * Updated create_precisionRecallSummary.R with create_scoreSummary() * Updated create_analytics.R with create_scoreSummary() * Updated stemming function to fix poor stemming performance 2011-08-16 Timothy P. Jurka * DESCRIPTION: Release 1.2 * Passes R CMD CHECK, meaning it can be submitted to CRAN * Added links to functions in documentation for easier navigation, expanded documentation to cover all functions and datasets * Added URL to DOCUMENTATION file, standardized description with what's on the website * Removed extraneous code (unused functions, commented code, etc.) * Removed dtm_to_sparsem and use the as.compressed.matrix() function in maxent instead * Changed glmnet iteration parameter to 10^5 * Changed classify_model() ... parameter to be passed into all predict() functions 2011-08-02 Timothy P. Jurka * DESCRIPTION: Release 1.1 * GLMNET algorithm now uses compressed sparse matrices * Full user documentation added * User interface simplified, less parameters need to be passed in * Bundled two sample datasets: NYTimes and USCongress * Better analytics, with precision, recall, and F1 scores * Simpler installation / Removed rJava 2011-06-18 Timothy P. Jurka * DESCRIPTION: Release 1.0