add_collocation_label   Choose and add collocation strings based on
                        collocation categories
as.tcorpus              Force an object to be a tCorpus class
as.tcorpus.default      Force an object to be a tCorpus class
as.tcorpus.tCorpus      Force an object to be a tCorpus class
backbone_filter         Extract the backbone of a network.
calc_chi2               Compute the chi^2 statistic for a 2x2 crosstab
                        containing the values [a, b] [c, d]
compare_documents_dtm   Compare the documents in a dtm with a sliding
                        window over time
corenlp_tokens          coreNLP example sentences
create_tcorpus          Create a tCorpus
docfreq_filter          Support function for subset method
dtm_compare             Compare two document term matrices
dtm_wordcloud           Plot a word cloud from a dtm
ego_semnet              Create an ego network
freq_filter             Support function for subset method
get_global_i            Compute global feature positions
get_stopwords           Get a character vector of stopwords
laplace                 Laplace (i.e. add constant) smoothing
list_resources          List downloaded resources
merge_tcorpora          Merge tCorpus objects
plot.vocabularyComparison
                        visualize vocabularyComparison
plot_semnet             Visualize a semnet network
plot_words              Plot a wordcloud with words ordered and
                        coloured according to a dimension (x)
preprocess_tokens       Preprocess tokens in a character vector
print.contextHits       S3 print for contextHits class
print.featureHits       S3 print for featureHits class
print.tCorpus           S3 print for tCorpus class
refresh_tcorpus         Refresh a tCorpus object using the current
                        version of corpustools
require_package         Check if package with given version exists
resources_path          Get name of the resources location
set_network_attributes
                        Set some default network attributes for pretty
                        plotting
set_resources_path      Specifiy the path where the downloaded
                        resources are stored
sgt                     Simple Good Turing smoothing
sotu_texts              State of the Union addresses
stopwords_list          Basic stopword lists
summary.contextHits     S3 summary for contextHits class
summary.featureHits     S3 summary for featureHits class
summary.tCorpus         Summary of a tCorpus object
tCorpus                 tCorpus: a corpus class for tokenized texts
tCorpus$code_features   Code features in a tCorpus based on a search
                        string
tCorpus$compare_corpus
                        Compare tCorpus vocabulary to that of another
                        (reference) tCorpus
tCorpus$compare_documents
                        Calculate the similarity of documents
tCorpus$compare_subset
                        Compare vocabulary of a subset of a tCorpus to
                        the rest of the tCorpus
tCorpus$context         Get a context vector
tCorpus$deduplicate     Deduplicate documents
tCorpus$delete_columns
                        Delete column from the data and meta data
tCorpus$dtm             Create a document term matrix.
tCorpus$feature_associations
                        Get common nearby terms given a feature query
tCorpus$feature_stats   Feature statistics
tCorpus$feature_subset
                        Filter features
tCorpus$get             Access the data from a tCorpus
tCorpus$kwic            Get keyword-in-context (KWIC) strings
tCorpus$lda_fit         Estimate a LDA topic model
tCorpus$preprocess      Preprocess feature
tCorpus$read_text       Print tokens as text
tCorpus$search_contexts
                        Search for documents or sentences using Boolean
                        queries
tCorpus$search_features
                        Find tokens using a Lucene-like search query
tCorpus$search_recode   Recode features in a tCorpus based on a search
                        string
tCorpus$semnet          Create a semantic network based on the
                        co-occurence of tokens in documents
tCorpus$semnet_window   Create a semantic network based on the
                        co-occurence of tokens in token windows
tCorpus$set             Modify the token and meta data.tables of a
                        tCorpus
tCorpus$set_levels      Change levels of factor columns
tCorpus$set_name        Change column names of data and meta data
tCorpus$set_special     Designate column as columns with special
                        meaning (token, lemma, POS, relation, parent)
tCorpus$subset          Subset a tCorpus
tCorpus$subset_query    Subset tCorpus token data using a query
tCorpus$top_features    Show top features
tCorpus_compare         Corpus comparison
tCorpus_create          Creating a tCorpus
tCorpus_data            Methods for viewing, modifying and subsetting
                        tCorpus data
tCorpus_docsim          Document similarity
tCorpus_features        Preprocessing, subsetting and analyzing
                        features
tCorpus_modify_by_reference
                        Modify tCorpus by reference
tCorpus_querying        Use Boolean queries to analyze the tCorpus
tCorpus_semnet          Feature co-occurrence based semantic network
                        analysis
tCorpus_topmod          Topic modeling
tokenWindowOccurence    Gives the window in which a term occured in a
                        matrix.
tokens_to_tcorpus       Create a tcorpus based on tokens (i.e.
                        preprocessed texts)
