/entityscrape

Live demo of the Go module entitydebs, a social science tool to programmatically analyze entities in non-fictional texts

Primary LanguageGoMIT LicenseMIT

entityscrape

This a social experiment which shows the mean distance between part of speeches (e. g. adjectives or nouns) in news articles (like from NBC or CNN) and randomly selected entities (like Xi Jingping or ISIS). Go straight to the website!

The Go package assocentity was used for creating this experiment. You can create new ones by updating the source/entities.txt file and run the CLI with the provided Visual Studio Code debug configuration.

Data source: dai, tianru, 2017, "News Articles", Harvard Dataverse, V1.