Name
Title | ||
|---|---|---|
Optimization on machine learning based approaches for sentiment analysis on HPV vaccines related tweets. |
Abstract | ||
|---|---|---|
Our work provides a systematical way to improve the machine learning model performance on the highly unbalanced HPV vaccines related tweets corpus. Our system can be further applied on a large tweets corpus to extract large-scale public opinion towards HPV vaccines. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1186/s13326-017-0120-6 | J. Biomedical Semantics |
Keywords | Field | DocType |
Gold standard,Hierarchical classification,Sentiment analysis,Social media,Support vector machines,Twitter | Data science,Data mining,Social media,Computer science,Sentiment analysis,Support vector machine,Artificial intelligence,Papillomavirus Vaccines,HPV vaccines,Machine learning | Journal |
Volume | Issue | ISSN |
8 | 1 | 2041-1480 |
Citations | PageRank | References |
3 | 0.52 | 6 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jingcheng Du | 1 | 30 | 16.40 |
| jun xu | 2 | 58 | 9.42 |
| Hsing-yi Song | 3 | 10 | 1.70 |
| Xiangyu Liu | 4 | 51 | 14.10 |
| Cui Tao | 5 | 35 | 12.77 |