1. Using Textstat To Make
2. Using Textstat To Use
3. Using Test Statistic To Find P-value
4. Using Textstat In Python

Jun 25, 2018 TextSTAT is text concordance software that runs on both Windows (XP or Vista) and Mac. According to the TextSTAT website the Windows version 'includes everything you need to use TextSTAT with Windows. It comes as a single installation file.' I haven't tested this. The readtext function from the readtext package loads the text files into a data.frame object. We can access the text from a data.frame object (and also, as we will see, a corpus class object), using the texts or the View method. Here we will display just the first 75 characters, to prevent a massive dump of the text of the entire novel.

Description

Produces counts and document frequencies summaries of the features in adfm, optionally grouped by a docvars variable or other suppliedgrouping variable.

Usage

Arguments

a dfm object

(optional) integer specifying the top n features to be returned,within group if groups is specified

either: a character vector containing the names of documentvariables to be used for grouping; or a factor or object that can becoerced into a factor equal in length or rows to the number of documents.NA values of the grouping value are dropped.See groups for details.

character string specifying how ties are treated. Seedata.table::frank() for details. Unlike that function,however, the default is 'min', so that frequencies of 10, 10, 11would be ranked 1, 1, 3.

additional arguments passed to dfm_group(). This canbe useful in passing force = TRUE, for instance, if you are grouping adfm that has been weighted.

Value

a data.frame containing the following variables:

(character) the feature

count of the feature

rank of the feature, where 1 indicates the greatestfrequency

Using Textstat To Make

document frequency of the feature, as a count (thenumber of documents in which this feature occurred at least once)

document frequency of the feature, as a count

Using Textstat To Use

(only if groups is specified) the label of the group.If the features have been grouped, then all counts, ranks, and documentfrequencies are within group. If groups is not specified, the groupcolumn is omitted from the returned data.frame.

Using Test Statistic To Find P-value

textstat_frequency returns a data.frame of features andtheir term and document frequencies within groups.

Using Textstat In Python

Examples