Work

Accelerating Discovery: Mining Unstructured Information for Hypothesis Generation

Year: 2020

Type: article

Source: CERN Document Server (European Organization for Nuclear Research)

Author: Scott Spangler

Language: English

Topic: Computational and Text Analysis Methods

Subfield: General Social Sciences

Field: Social Sciences

Domain: Social Sciences

Open Access status: closed

OpenAlex ID: W2413102523

FWCI: 2.979

Cites:

Cited by: 12

Related to: 10