https://github.com/ndabap/entityscrape
Social experiment: Mean distance between part of speeches in news articles and entities
https://github.com/ndabap/entityscrape
go golang nlp social-sciences
Last synced: 3 months ago
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Social experiment: Mean distance between part of speeches in news articles and entities
- Host: GitHub
- URL: https://github.com/ndabap/entityscrape
- Owner: ndabAP
- License: mit
- Created: 2019-04-17T07:01:05.000Z (over 6 years ago)
- Default Branch: main
- Last Pushed: 2025-07-12T17:13:11.000Z (3 months ago)
- Last Synced: 2025-07-12T18:40:59.973Z (3 months ago)
- Topics: go, golang, nlp, social-sciences
- Language: Go
- Homepage: https://ndabap.github.io/entityscrape/index.html
- Size: 168 MB
- Stars: 3
- Watchers: 1
- Forks: 1
- Open Issues: 1
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Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# 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](https://ndabap.github.io/entityscrape/index.html)!
The Go package [assocentity](https://github.com/ndabAP/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](https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/GMFCTR).