add_multitoken_label    Choose and add multitoken strings based on
                        multitoken categories
agg_label               Helper function for aggregate_rsyntax
agg_tcorpus             Aggregate the tokens data
aggregate_rsyntax       Aggregate rsyntax annotations
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.
browse_hits             View hits in a browser
browse_texts            Create and view a full text browser
calc_chi2               Vectorized computation of chi^2 statistic for a
                        2x2 crosstab containing the values [a, b] [c,
                        d]
compare_corpus          Compare tCorpus vocabulary to that of another
                        (reference) tCorpus
compare_documents       Calculate the similarity of documents
compare_subset          Compare vocabulary of a subset of a tCorpus to
                        the rest of the tCorpus
corenlp_tokens          coreNLP example sentences
count_tcorpus           Count results of search hits, or of a given
                        feature in tokens
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
export_span_annotations
                        Export span annotations
feature_associations    Get common nearby features given a query or
                        query hits
feature_stats           Feature statistics
fold_rsyntax            Fold rsyntax annotations
freq_filter             Support function for subset method
get_dtm                 Create a document term matrix.
get_global_i            Compute global feature positions
get_kwic                Get keyword-in-context (KWIC) strings
get_stopwords           Get a character vector of stopwords
laplace                 Laplace (i.e. add constant) smoothing
melt_quanteda_dict      Convert a quanteda dictionary to a long
                        data.table format
merge_tcorpora          Merge tCorpus objects
plot.contextHits        S3 plot for contextHits class
plot.featureAssociations
                        visualize feature associations
plot.featureHits        S3 plot for featureHits class
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
search_contexts         Search for documents or sentences using Boolean
                        queries
search_dictionary       Dictionary lookup
search_features         Find tokens using a Lucene-like search query
semnet                  Create a semantic network based on the
                        co-occurence of tokens in documents
semnet_window           Create a semantic network based on the
                        co-occurence of tokens in token windows
set_network_attributes
                        Set some default network attributes for pretty
                        plotting
sgt                     Simple Good Turing smoothing
show_udpipe_models      Show the names of udpipe models
sotu_texts              State of the Union addresses
stopwords_list          Basic stopword lists
subset.tCorpus          S3 subset for tCorpus class
subset_query            Subset tCorpus token data using a query
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$annotate_rsyntax
                        Annotate tokens based on rsyntax queries
tCorpus$code_dictionary
                        Dictionary lookup
tCorpus$code_features   Code features in a tCorpus based on a search
                        string
tCorpus$context         Get a context vector
tCorpus$deduplicate     Deduplicate documents
tCorpus$delete_columns
                        Delete column from the data and meta data
tCorpus$feats_to_columns
                        Cast the "feats" column in UDpipe tokens to
                        columns
tCorpus$feature_subset
                        Filter features
tCorpus$fold_rsyntax    Fold rsyntax annotations
tCorpus$get             Access the data from a tCorpus
tCorpus$lda_fit         Estimate a LDA topic model
tCorpus$merge           Merge the token and meta data.tables of a
                        tCorpus with another data.frame
tCorpus$preprocess      Preprocess feature
tCorpus$replace_dictionary
                        Replace tokens with dictionary match
tCorpus$search_recode   Recode features in a tCorpus based on a search
                        string
tCorpus$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$subset          Subset a tCorpus
tCorpus$subset_query    Subset tCorpus token data using a query
tCorpus$udpipe_clauses
                        Add columns indicating who did what
tCorpus$udpipe_quotes   Add columns indicating who said what
tCorpus_compare         Corpus comparison
tCorpus_create          Creating a tCorpus
tCorpus_data            Methods and functions 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
tc_plot_tree            Visualize a dependency tree
tc_sotu_udpipe          A tCorpus with a small sample of sotu
                        paragraphs parsed with udpipe
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)
top_features            Show top features
transform_rsyntax       Apply rsyntax transformations
udpipe_clause_tqueries
                        Get a list of tqueries for extracting who did
                        what
udpipe_quote_tqueries   Get a list of tqueries for extracting quotes
udpipe_simplify         Simplify tokenIndex created with the udpipe
                        parser
udpipe_spanquote_tqueries
                        Get a list of tqueries for finding candidates
                        for span quotes.
udpipe_tcorpus          Create a tCorpus using udpipe
untokenize              Reconstruct original texts
