Work

What is good for one city may not be good for another one: evaluating generalization for tweet classification based on semantic abstraction

Year: 2014

Type: article

Authors: Axel Schulz, Frederik Janssen

Institution: Technische Universität Darmstadt

Language: English

Topic: Text and Document Classification Technologies

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Sustainable cities and communities

Open Access status: closed

OpenAlex ID: W2293302765

FWCI: 0.894

Cites: 20

Cited by: 4

Related to: 10