For keyword extractions, since you’re already using spaCy, you might take a look at textacy, specifically: textacy.ke.utils.most_discriminating_terms Document

For keyword extractions, since you’re already using spaCy, you might take a look at textacy, specifically: textacy.ke.utils.most_discriminating_terms Documentation is here: https://chartbeat-labs.github.io/textacy/build/html/api_reference/information_extraction.html https://chartbeat-labs.github.io/textacy/build/html/api_refe... Code is based on this research: King, Gary, Patrick Lam, and Margaret Roberts. “Computer-Assisted Keyword and Document Set Discovery from Unstructured Text.” (2014). http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.458.1445&rep=rep1&type=pdf http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.458... —— Thanks for the depth of your replies, love mapping information, finding patterns, “seeing the future”... though more often than not, even if you knew for sure some aspect of the future in a predictable way, still very hard to make use of it, mainly enjoy the topic as more as a info geek more than anything else. Again, thanks for sharing!