/litvecspace

Accompanying code for the paper "Vector space explorations of literary language"

Primary LanguageJupyter NotebookGNU General Public License v3.0GPL-3.0

Vector space explorations of literary language

Accompanying code for the paper "Vector space explorations of literary language"

This repository is intended for documentation purposes, as the relevant data cannot be made publicly available.

Data used

Requirements

See requirements.txt. Install with pip3 install -r requirements.txt

Overview

  • features.py: divides corpus into chunks and computes BoW features and paragraph vectors
  • notebook.ipynb: fit predictive models, data analysis, tables, figures, etc.

Reference

@article{vancranenburgh2019vecspace,
    author={van Cranenburgh, Andreas
            and van Dalen-Oskam, Karina
            and van Zundert, Joris},
    title={Vector space explorations of literary language},
    year={2019},
    journal={Language Resources and Evaluation},
    month={Feb},
    day={09},
    issn={1574-0218},
    doi={10.1007/s10579-018-09442-4},
    url={https://doi.org/10.1007/s10579-018-09442-4}
}