Qualitative Analysis with Large Language Models
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Documentation for package ‘quallmer’ version 0.3.0
Help Pages
| accessors | Accessor functions for quallmer objects |
| as_qlm_coded | Convert coded data to qlm_coded format |
| as_qlm_coded.data.frame | Convert coded data to qlm_coded format |
| as_qlm_coded.default | Convert coded data to qlm_coded format |
| codebook | Extract codebook from quallmer objects |
| data_codebook_immigration | Immigration policy codebook based on Benoit et al. (2016) |
| data_codebook_sentiment | Sentiment analysis codebook for movie reviews |
| data_corpus_LMRDsample | Sample from Large Movie Review Dataset (Maas et al. 2011) |
| data_corpus_manifsentsUK2010sample | Sample of UK manifesto sentences 2010 crowd-annotated for immigration |
| data_corpus_ms2020sample | Sample corpus of political speeches from Maerz & Schneider (2020) |
| inputs | Extract input data from qlm_coded objects |
| qlm_code | Code qualitative data with an LLM |
| qlm_codebook | Define a qualitative codebook |
| qlm_compare | Compare coded results for inter-rater reliability |
| qlm_meta | Get or set quallmer object metadata |
| qlm_meta<- | Get or set quallmer object metadata |
| qlm_replicate | Replicate a coding task |
| qlm_trail | Create an audit trail from quallmer objects |
| qlm_validate | Validate coded results against a gold standard |