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} }