methods, R6, data.table, slam, Matrix, tm, foreach, DT, utils
parallel, polmineR.Rcpp, europarl.en, rcqp, doParallel,
markdown, htmltools, xlsx, sendmailR, knitr, bigmemory,
bigtabulate, rJava, shiny
Library for corpus analysis using the Corpus Workbench as an
efficient back end for indexing and querying large corpora. The package offers
functionality to flexibly create partitions and to carry out basic statistical
operations (count, co-occurrences etc.). The original full text of documents
can be reconstructed and inspected at any time. Beyond that, the package
is intended to serve as an interface to packages implementing advanced
statistical procedures. Respective data structures (document term matrices, term
co-occurrence matrices etc.) can be created based on the indexed corpora.
'CQI.R' 'CQI.Rcpp.R' 'CQI.cqpserver.R' 'CQI.perl.R'
'CQI.rcqp.R' 'Corpus_class.R' 'Partition.R' 'generics.R'
'textstat_class.R' 'polmineR_package.R' 'partition_class.R'
'Regions_class.R' 'RegistryFile.R'
'TermDocumentMatrix_methods.R' 'Textstat.R'
'TokenStream_class.R' 'adjustEncoding_method.R'
'aggregate_method.R' 'bundle_class.R' 'partitionBundle_class.R'
'as.DocumentTermMatrix_method.R' 'as.markdown_method.R'
'features_class.R' 'context_class.R' 'contextBundle_class.R'
'cooccurrences_class.R' 'as.sparseMatrix_method.R'
'as.speeches_method.R' 'blapply_method.R' 'kwic_method.R'
'kwic_class.R' 'browse_method.R' 'chisquare_method.R'
'context_method.R' 'cooccurrences_method.R' 'corpus_method.R'
'dispersion_class.R' 'count_method.R' 'tempcorpus.R'
'cpos_method.R' 'decode_method.R' 'hits_class.R'
'dispersion_method.R' 'divide_method.R' 'dotplot_method.R'
'encode_method.R' 'encoding_method.R' 'enrich_method.R'
'ngrams_method.R' 'features_method.R' 'freq_method.R'
'frequencies_method.R' 'getEncoding_method.R'
'getTerms_method.R' 'getTokenStream_method.R'
'highlight_method.R' 'html_method.R' 'html_methods.R'
'install.corpus_function.R' 'll_method.R' 'mail_method.R'
'means_method.R' 'meta_method.R' 'noise_method.R'
'pAttributes_method.R' 'partitionBundle_method.R'
'partitionBundle_methods.R' 'sAttributes2cpos_method.R'
'partition_method.R' 'partition_methods.R' 'plot_method.R'
'pmi_method.R' 'read_method.R' 'registry.R' 'rustyard.R'
'sAttributes_method.R' 'scatterplot_method.R' 'size_method.R'
'tTest.R' 'templates_method.R' 'terms_method.R' 'trim_method.R'
'use_method.R' 'utils.R' 'view_method.R' 'weigh_method.R'
'zzz.R'