print.qlm_corpus

Provides a simple print method for corpus objects when quanteda is not loaded.
When quanteda is available, delegates to its print.corpus method using
NextMethod(). This displays basic information about the corpus structure
without requiring quanteda as a dependency.

internal

Tools for AI-assisted qualitative data coding using large language
models ('LLMs') via the 'ellmer' package, supporting providers including
'OpenAI', 'Anthropic', 'Google', 'Azure', and local models via 'Ollama'.
Provides a 'codebook'-based workflow for defining coding instructions and
applying them to texts, images, and other data. Includes built-in 'codebooks'
for common applications such as sentiment analysis and policy coding, and
functions for creating custom 'codebooks' for specific research questions.
Supports systematic replication across models and settings, computing
inter-coder reliability statistics including Krippendorff's alpha
(Krippendorff 2019, <doi:10.4135/9781071878781>) and Fleiss' kappa
(Fleiss 1971, <doi:10.1037/h0031619>), as well as gold-standard validation
metrics including accuracy, precision, recall, and F1 scores following
Sokolova and Lapalme (2009, <doi:10.1016/j.ipm.2009.03.002>). Provides audit
trail functionality for documenting coding workflows following Lincoln and
Guba's (1985, ISBN:0803924313) framework for establishing trustworthiness
in qualitative research.

Seraphine F. Maerz

quallmer

Qualitative Analysis with Large Language Models

Kenneth Benoit

print.qlm_corpus function

<dl><dt>x</dt>
<dd>a qlm_corpus object</dd>
<dt>...</dt>
<dd>additional arguments passed to methods</dd></dl>

Arguments

Print method for qlm_corpus objects — print.qlm_corpus

<dl>

<dt>x</dt>
<dd>a qlm_corpus object</dd>


<dt>...</dt>
<dd>additional arguments passed to methods</dd>

</dl>

print.qlm_corpus: Print method for qlm_corpus objects

Description

Usage

Value

Arguments