Understanding the topic evolution of scientific literatures like an evolving city: Using Google Word2Vec model and spatial autocorrelation analysis.
Kai Hu|Qing Luo|Kunlun Qi|Siluo Yang|Jin Mao|Xiaokang Fu|Jie Zheng|Huayi Wu|Ya Guo|Qibing Zhu
| Anthology ID: | DBLP:journals/ipm/HuLQYMFZWGZ19 |
|---|---|
| Year: | 2019 |
| Venue: | Information Processing and Management |
| Pages: | 1185-1203 |
| URL: | https://doi.org/10.1016/J.IPM.2019.02.014 |
| DOI: | https://doi.org/10.1016/J.IPM.2019.02.014 |
| DBLP: | journals/ipm/HuLQYMFZWGZ19 |
| BibTeX: |
@article{hu-2019-understanding,
author = {Kai Hu and
Qing Luo and
Kunlun Qi and
Siluo Yang and
Jin Mao and
Xiaokang Fu and
Jie Zheng and
Huayi Wu and
Ya Guo and
Qibing Zhu},
title = {{Understanding the topic evolution of scientific literatures like an evolving city: Using Google Word2Vec model and spatial autocorrelation analysis}},
journal = {Information Processing and Management},
volume = {56},
number = {4},
pages = {1185--1203},
year = {2019},
url = {https://doi.org/10.1016/J.IPM.2019.02.014},
doi = {https://doi.org/10.1016/J.IPM.2019.02.014}
}