Dynamic and Static Topic Model for Analyzing Time-Series Document Collections

by Rem Hida, Naoya Takeishi, Takehisa Yairi, Koichi Hori

Reference:

Rem Hida, Naoya Takeishi, Takehisa Yairi, Koichi Hori:Dynamic and Static Topic Model for Analyzing Time-Series Document Collections, In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, pp. 516-520, 2018.

Bibtex Entry:

@inproceedings{hidaDynamicStaticTopic2018,
title = {Dynamic and Static Topic Model for Analyzing Time-Series Document Collections},
author = {Rem Hida and Naoya Takeishi and Takehisa Yairi and Koichi Hori},
labauthor = {Rem Hida and Naoya Takeishi and Takehisa Yairi and Koichi Hori},
doi = {10.18653/v1/P18-2082},
year  = {2018},
date = {2018-01-01},
booktitle = {Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics},
pages = {516-520},
}