PsychiatryNLPKit.analysis.determiner_ratio

PsychiatryNLPKit.analysis.determiner_ratio(pos_tags, sections=None, lang='en', averaging_method='macro')[source]

Determiner-to-total-word ratio per section.

Notes:

Theoretical basis - Determiner use is correlated with negative thought disorder (Bilgrami et al., 2022).

Args:

pos_tags: Dict mapping section names to lists of POS-tagged sentences. sections: Sections to process. None processes all sections in

pos_tags.

lang: Language code (“en” or “fr”). averaging_method: "macro" averages per-sentence ratios; "micro"

computes total determiners / total words across the section.

Returns:

Dict mapping section names to a dict with keys "determiner_ratio" and "determiner_count". Empty sections receive float("nan") for both.

References:

Bilgrami, Z. R., Sarac, C., Srivastava, A., Herrera, S. N., Azis, M., Haas, S. S., Shaik, R. B., Parvaz, M. A., Mittal, V. A., Cecchi, G., & Corcoran, C. M. (2022). Construct validity for computational linguistic metrics in individuals at clinical risk for psychosis: Associations with clinical ratings. Schizophrenia Research, 245, 90–96. https://doi.org/10.1016/j.schres.2022.01.019