Work

Hip and trendy: Characterizing emerging trends on Twitter

Year: 2011

Type: article

Source: Journal of the American Society for Information Science and Technology

DOI: 10.1002/asi.21489

Authors: Mor Naaman, Hila Becker, Luis Gravano

Institutions: Rutgers, The State University of New Jersey, Columbia University

Language: English

Topic: Sentiment Analysis and Opinion Mining

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W2056076776

FWCI: 22.61

Cites: 90

Cited by: 352

Related to: 10