W-TextCNN
A TextCNN model with weighted word embeddings for Chinese address pattern classification
Bibliographic Data
| ID | 21478878 |
|---|---|
| Authors | Chen Zhang (0000-0002-1923-2771, Wuhan University), Renzhong Guo (0000-0001-9376-2618, Shenzhen University, corresponding author), Xiangyuan Ma (0000-0003-0958-1537, Wuhan University), Xi Kuai (0000-0002-6340-7452, Shenzhen University), Biao He (0000-0002-8084-6158, Shenzhen University) |
| Year | 2022 |
| Volume | 95 |
| Pages | 101819 |
| Publication date | 2022-07-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Computers Environment and Urban Systems (JOURNAL) |
| Journal identifiers | ISSN: 0198-9715 • E-ISSN: 1873-7587 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.compenvurbsys.2022.101819 |
| OpenAlex | W4229060468 |
| Language | EN |
| Citations received | 3 |
| References cited | 32 |
Artificial neural network · Cartography · Convolutional neural network · Data mining · Geocoding · Geography · Machine learning · Natural language processing · Computer Science · Data Quality and Management · Data-Driven Disease Surveillance · Geographic Information Systems Studies · Artificial Intelligence
Theft Address Extraction and Classification from Chinese Judicial Documents Based on Large Language Model
Geographic Named Entity Matching and Evaluation Recommendation Using Multi-Objective Tasks
A Hybrid Spatio-Textual Matching Approach for Evaluating Historical Web-Derived Address Data with Spatial Consistency Assessment
Enriching Word Vectors with Subword Information
Term-weighting approaches in automatic text retrieval
Smote
Spatial Context-Based Local Toponym Extraction and Chinese Textual Address Segmentation from Urban POI Data
Gsam
Spatial pattern analysis of address quality
Social media semantic perceptions on Madrid Metro system
Geocoding Quality and Implications for Spatial Analysis
| Unique citing works | 3 |
|---|---|
| Citations per year | 3 |
| Citation span | 2025 - 2026 (2) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 3 |