Short-Text Topic Modeling via Non-negative Matrix Factorization Enriched with Local Word-Context Correlations | NSF Public Access Repository

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Citation Details

Short-Text Topic Modeling via Non-negative Matrix Factorization Enriched with Local Word-Context Correlations

Award ID(s):: 1646881 1707498 1619028

PAR ID:: 10066661

Author(s) / Creator(s):: Shi, Tian; Kang, Kyeongpil; Choo, Jaegul; Reddy, Chandan K.

Date Published:: 2018-01-01

Journal Name:: Proceedings of the 2018 World Wide Web Conference on World Wide Web - WWW '18

Page Range / eLocation ID:: 1105 to 1114

Format(s):: Medium: X

Sponsoring Org:: National Science Foundation

Free Publicly Accessible Full Text
Accepted Manuscript1.0
Conference Paper:
https://doi.org/10.1145/3178876.3186009