corpustools0.5.2 package

Choose and add multitoken strings based on multitoken categories

Helper function for aggregate_rsyntax

Aggregate the tokens data

Aggregate rsyntax annotations

Force an object to be a tCorpus class

Force an object to be a tCorpus class

Force an object to be a tCorpus class

Extract the backbone of a network.

View hits in a browser

Create and view a full text browser

Vectorized computation of chi^2 statistic for a 2x2 crosstab containin...

Compare tCorpus vocabulary to that of another (reference) tCorpus

Calculate the similarity of documents

Compare vocabulary of a subset of a tCorpus to the rest of the tCorpus

Count results of search hits, or of a given feature in tokens

Create a tCorpus

Support function for subset method

Compare two document term matrices

Plot a word cloud from a dtm

Create an ego network

Export span annotations

Get common nearby features given a query or query hits

Feature statistics

Fold rsyntax annotations

Support function for subset method

Create a document term matrix.

Compute global feature positions

Get keyword-in-context (KWIC) strings

Get a character vector of stopwords

Laplace (i.e. add constant) smoothing

Convert a quanteda dictionary to a long data.table format

Merge tCorpus objects

Visualize a semnet network

Plot a wordcloud with words ordered and coloured according to a dimens...

S3 plot for contextHits class

visualize feature associations

S3 plot for featureHits class

visualize vocabularyComparison

Preprocess tokens in a character vector

S3 print for contextHits class

S3 print for featureHits class

S3 print for tCorpus class

Refresh a tCorpus object using the current version of corpustools

Check if package with given version exists

Search for documents or sentences using Boolean queries

Dictionary lookup

Find tokens using a Lucene-like search query

Create a semantic network based on the co-occurence of tokens in token...

Create a semantic network based on the co-occurence of tokens in docum...

Set some default network attributes for pretty plotting

Simple Good Turing smoothing

Show the names of udpipe models

Subset tCorpus token data using a query

S3 subset for tCorpus class

S3 summary for contextHits class

S3 summary for featureHits class

Summary of a tCorpus object

Visualize a dependency tree

Corpus comparison

Creating a tCorpus

Methods and functions for viewing, modifying and subsetting tCorpus da...

Document similarity

Preprocessing, subsetting and analyzing features

Modify tCorpus by reference

Use Boolean queries to analyze the tCorpus

Feature co-occurrence based semantic network analysis

Topic modeling

Annotate tokens based on rsyntax queries

Dictionary lookup

Code features in a tCorpus based on a search string

Get a context vector

Deduplicate documents

Delete column from the data and meta data

Cast the "feats" column in UDpipe tokens to columns

Filter features

Fold rsyntax annotations

Access the data from a tCorpus

Estimate a LDA topic model

Merge the token and meta data.tables of a tCorpus with another data.fr...

Preprocess feature

Replace tokens with dictionary match

Recode features in a tCorpus based on a search string

Change levels of factor columns

Change column names of data and meta data

Modify the token and meta data.tables of a tCorpus

Subset tCorpus token data using a query

Subset a tCorpus

Add columns indicating who did what

Add columns indicating who said what

tCorpus: a corpus class for tokenized texts

Create a tcorpus based on tokens (i.e. preprocessed texts)

Gives the window in which a term occured in a matrix.

Show top features

Apply rsyntax transformations

Get a list of tqueries for extracting who did what

Get a list of tqueries for extracting quotes

Simplify tokenIndex created with the udpipe parser

Get a list of tqueries for finding candidates for span quotes.

Create a tCorpus using udpipe

Reconstruct original texts