Joint Non-negative Matrix Factorization for Learning Ideological Leaning on 
Twitter

Lahoti, Preethi; Garimella, Kiran; Gionis, Aristides

doi:10.1145/3159652.3159669

Local TagsRelease HistoryDetailsSummary

Joint Non-negative Matrix Factorization for Learning Ideological Leaning on Twitter

Lahoti, P., Garimella, K., & Gionis, A. (2018). Joint Non-negative Matrix Factorization for Learning Ideological Leaning on Twitter. In WSDM'18 (pp. 351-359). New York, NY: ACM. doi:10.1145/3159652.3159669.

Item is Released

show all hide all

Basic

show hide

Item Permalink: https://hdl.handle.net/21.11116/0000-0002-9C4F-7 Version Permalink: https://hdl.handle.net/21.11116/0000-0002-9C50-4

Genre: Conference Paper

Latex : Joint Non-negative Matrix Factorization for Learning Ideological Leaning on {T}witter

Files

show Files

Locators

show

Creators

show

hide

Creators:
Lahoti, Preethi¹, Author
Garimella, Kiran², Author
Gionis, Aristides², Author

Affiliations:
1Databases and Information Systems, MPI for Informatics, Max Planck Society, ou_24018
2External Organizations, ou_persistent22

Content

show

Details

show

hide

Language(s): eng - English

Dates: Published Online: 2018Date issued: 2018

Publication Status: Issued

Pages: -

Publishing info: -

Table of Contents: -

Rev. Type: -

Identifiers: BibTex Citekey: Lahoti_WSDM2018
DOI: 10.1145/3159652.3159669

Degree: -

Event

show

hide

Title: 11th ACM International Conference on Web Search and Data Mining

Place of Event: Marina Del Rey, CA, USA

Start-/End Date: 2018-02-05 - 2018-02-09

Legal Case

show

Project information

show

Source 1

show

hide

Title: WSDM'18

Abbreviation : WSDM 2018

Subtitle : Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining

Source Genre: Proceedings

Creator(s):

Affiliations:

Publ. Info: New York, NY : ACM

Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 351 - 359 Identifier: ISBN: 978-1-4503-5581-0