Work

Hierarchical Re-estimation of Topic Models for Measuring Topical Diversity

Year: 2017

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-319-56608-5_6

Authors: Hosein Azarbonyad, Mostafa Dehghani, Tom Kenter, Maarten Marx, Jaap Kamps, Maarten de Rijke

Institution: University of Amsterdam

Language: English

Topic: Topic Modeling

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: Microsoft Research, Netherlands eScience Center, European Commission, Nederlandse Organisatie voor Wetenschappelijk Onderzoek

Awards: G2586376837, G283277720, G2861369480, NEWEL - The New Science of Existential Well-being, Common Operations of Environmental Research Infrastructures, Semantic News Search, G5934986132, G5993542861, G7319450384, Virtual Centre of Excellence for Research in Violent Online Political Extremism, Exploratory Political Search (ExPoSe)

OpenAlex ID: W2579307474

FWCI: 0.551

Cites: 29

Cited by: 7

Related to: 10