Name
Abstract | ||
|---|---|---|
There are few studies focus on enterprise science and technology demand data, which is very important for enterprise development and innovation. These data are scattered on several websites and contain a lot of noise, which make it difficult to accurately analyze their topic. In this paper, the topic extraction algorithm based on deep learning is proposed to obtain the topic of demand in various i... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/CCIS53392.2021.9754535 | 2021 IEEE 7th International Conference on Cloud Computing and Intelligent Systems (CCIS) |
Keywords | DocType | ISBN |
Industries,Deep learning,Technological innovation,Time series analysis,Filtering algorithms,Feature extraction,Market research | Conference | 978-1-6654-4149-0 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Haiyan Cui | 1 | 0 | 0.68 |
| Zhe Xue | 2 | 72 | 14.60 |
| Junping Du | 3 | 789 | 91.80 |
| Xin Xu | 4 | 162 | 40.08 |
| Junqing Xi | 5 | 0 | 0.34 |