scholarly article | Q13442814 |
P8978 | DBLP publication ID | journals/sensors/Hernandez-Suarez19 |
P356 | DOI | 10.3390/S19071746 |
P932 | PMC publication ID | 6484392 |
P698 | PubMed publication ID | 30979067 |
P50 | author | Hector Perez-Meana | Q61336471 |
Aldo Hernandez-Suarez | Q88518829 | ||
Luis Javier García Villalba | Q52610420 | ||
P2093 | author name string | Luis Javier García Villalba | |
Gabriel Sanchez-Perez | |||
Karina Toscano-Medina | |||
Aldo Hernandez-Suarez | |||
P2860 | cites work | Matplotlib: A 2D Graphics Environment | Q17278583 |
Spatio-Temporal Distribution of Negative Emotions in New York City After a Natural Disaster as Seen in Social Media | Q58398430 | ||
Long short-term memory | Q24805158 | ||
Social Sentiment Sensor in Twitter for Predicting Cyber-Attacks Using ℓ₁ Regularization. | Q55315019 | ||
P275 | copyright license | Creative Commons Attribution 4.0 International | Q20007257 |
P6216 | copyright status | copyrighted | Q50423863 |
P433 | issue | 7 | |
P407 | language of work or name | English | Q1860 |
P921 | main subject | X | Q918 |
natural disaster | Q8065 | ||
word embedding | Q18395344 | ||
Word2vec | Q22673982 | ||
address geocoding | Q1346408 | ||
recurrent neural network | Q1457734 | ||
Geoparsing | Q5535557 | ||
P304 | page(s) | 1746 | |
P577 | publication date | 2019-04-11 | |
P1433 | published in | Sensors | Q3478643 |
P1476 | title | Using Twitter Data to Monitor Natural Disaster Social Dynamics: A Recurrent Neural Network Approach with Word Embeddings and Kernel Density Estimation | |
P478 | volume | 19 |
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