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}
}