This repository serves as a supplementary material for the article "Pain and the Body in Corpus Hippocraticum: A Distributional Semantic Analysis", currently under review (May 2021). It contains scripts, data and figures. The scripts are in Python 3 programming language and have a form of Jupyter notebooks. All our analyses aim at being fully reproducible and we invite other scholars to reuse our code and data for their analyses.
- Vojtěch Kaše
- Vojtěch Linka
CC-BY-SA 4.0, see attached License.md
- download or clone the repository
- activate the virtual environment (open your command line, move the the repository folder and run
bash ./create_pia_venv.sh) - in the jupyter notebooks, always check that you are connected to the pia_venv kernel
- (alternatively, if you do not wish to use the virtual environment, make sure that you have installed all required python packages within the
requirements.txtfile:pip install -r requiremnts.txt
The scripts are in the scripts subfolder and their numbers and titles should be self-explanatory:
- 1_EXTRACTING-CORPORA.ipynb extracts relevant texts from a large corpus of ancient Greek texts (LAGT).
- 2_EXPLORATIONS+REPLACEMENTS.ipynb makes some preliminary observations and employs regular expression to extract all pain words unified under four word roots: πόνο*, ὀδύν*, ἄλγ*, λύπ*.
- 3_OVERVIEW+WORK-DISTANCES.ipynb (1) offers a detailed overview of frequecies of the pain words across individual works and work categories; (2) generates plots visualizing distances between works based on their shared vocabulary.
- 4_PAIN-SENTENCES.ipynb analyzes sentences comparing the pain words, comparing them agaist the rest of the corpus.
- 5_VECTORS.ipynb introduces a vector (or: distributional) semantic model. It construts a weighted word-word co-occurrence matrix using the PPMI3 metric, transforms it by SVD and compares row vectors corresponding to individual words by means of cosine similarity. Finally, it plots the embeddings projected into a 2-dimensional space by tSNE.
- 5_VECTORS_without-de-diaeta.ipynb is the same script as the previous one, with one difference: the work De diaeta is excluded from the analysis.