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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "quickSentiment" in publications use:'
type: software
license: MIT
title: 'quickSentiment: A Fast and Flexible Pipeline for Text Classification'
version: 0.3.4
identifiers:
- type: doi
  value: 10.32614/CRAN.package.quickSentiment
abstract: 'A high-level pipeline that simplifies text classification into three streamlined
  steps: preprocessing, model training, and standardized prediction. It unifies the
  interface for multiple algorithms (including ''glmnet'', ''ranger'', ''xgboost'',
  and ''naivebayes'') and memory-efficient sparse matrix vectorization methods (Bag-of-Words,
  Term Frequency, TF-IDF, and Binary). Users can go from raw text to a fully evaluated
  sentiment model, complete with ROC-optimized thresholds, in just a few function
  calls. The resulting model artifact automatically aligns the vocabulary of new datasets
  during the prediction phase, safely appending predicted classes and probability
  matrices directly to the user''s original dataframe to preserve metadata.'
authors:
- family-names: Dahal
  given-names: Alabhya
  email: alabhya.dahal@gmail.com
preferred-citation:
  type: manual
  title: 'quickSentiment: A Fast and Flexible Pipeline for Text Classification'
  authors:
  - family-names: Dahal
    given-names: A.
  year: '2026'
  notes: 1 R package version 0.3.1. Available on CRAN
  url: https://CRAN.R-project.org/package=quickSentiment
repository: https://cran.r-universe.dev
commit: 1c621de51fa914282a57addc9a6deeb6b614130a
date-released: '2026-04-17'
contact:
- family-names: Dahal
  given-names: Alabhya
  email: alabhya.dahal@gmail.com