A Natural Language Processing Investigation of Cannabis Strains, Context, and Subjective Effects

Project Details


Cannabis users have access to a wide range of products with varying levels of potency. Additionally, they consume cannabis in different social and environmental contexts, and it is likely that this is mirrored in heterogeneous subjective effects experienced by users. The proposed research therefore seeks to examine systematically how the pharmacological properties of cannabis interact with the cannabis users’ social context to shape the experience of subjective effects.

The website leafly.com contains user reviews for over 800 strains, as well as predetermined tags indicating strain, THC content, terpene information, and subjective effects. By analysing user reviews for contextual details, this will allow a comprehensive and well-powered analysis of the relationship between reported subjective effects, chemical composition of the cannabis plant, and social and physical context.
StatusNot started


Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.