PsychiatryNLPKit.analysis.sentence_length

PsychiatryNLPKit.analysis.sentence_length(pos_tags, sections=None)

Average sentence length (in tokens) per section.

Notes:

Theoretical basis - Sentence length is associated with negative thought disorder features of TLC poverty of content and poverty of speech (Bilgrami et al., 2022).

Args:

pos_tags: Dict mapping section names to lists of POS-tagged sentences.

Each sentence is a list of (word, lemma, tag) tuples.

sections: Sections to process. None processes all sections in

pos_tags.

Returns:

Dict mapping section names to a dict with key "sentence_length". Empty sections receive float("nan").

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