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

Tian Shi|Kyeongpil Kang|Jaegul Choo|Chandan K. Reddy


Anthology ID:DBLP:conf/www/ShiKCR18
Volume:Proceedings of the 2018 World Wide Web Conference on World Wide Web, WWW 2018, Lyon, France, April 23-27, 2018
Year:2018
Venue:The Web Conference (WWW)
Publisher:ACM
Pages:1105-1114
URL:https://doi.org/10.1145/3178876.3186009
DOI:https://doi.org/10.1145/3178876.3186009
DBLP:conf/www/ShiKCR18
BibTeX:
@inproceedings{shi-2018-shorttext, author = {Tian Shi and Kyeongpil Kang and Jaegul Choo and Chandan K. Reddy}, editor = {Pierre-Antoine Champin and Fabien Gandon and Mounia Lalmas-Roelleke and Panagiotis G. Ipeirotis}, title = {{Short-Text Topic Modeling via Non-negative Matrix Factorization Enriched with Local Word-Context Correlations}}, booktitle = {{Proceedings of the 2018 World Wide Web Conference on World Wide Web, WWW 2018, Lyon, France, April 23-27, 2018}}, pages = {1105--1114}, publisher = {ACM}, year = {2018}, url = {https://doi.org/10.1145/3178876.3186009}, doi = {https://doi.org/10.1145/3178876.3186009} }