Name
Title | ||
|---|---|---|
POS-RS: A Random Subspace method for sentiment classification based on part-of-speech analysis. |
Abstract | ||
|---|---|---|
•The rise of social media has fueled interest in sentiment classification.•POS-RS is proposed for sentiment analysis based on part-of-speech analysis.•Ten public datasets were investigated to verify the effectiveness of POS-RS.•Experimental results reveal POS-RS can be used as a viable method. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1016/j.ipm.2014.09.004 | Information Processing & Management |
Keywords | Field | DocType |
Sentiment classification,Random Subspace,Part of speech,Ensemble learning | Data mining,Computer science,Random subspace method,Part of speech,Artificial intelligence,Ensemble learning,Social media,Information retrieval,Subspace topology,Sentiment analysis,Support vector machine,Lexicon,Machine learning | Journal |
Volume | Issue | ISSN |
51 | 4 | 0306-4573 |
Citations | PageRank | References |
10 | 0.43 | 47 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gang Wang | 1 | 87 | 2.44 |
| Zhu Zhang | 2 | 10 | 0.77 |
| Jianshan Sun | 3 | 192 | 17.65 |
| Shanlin Yang | 4 | 787 | 60.80 |
| Catherine A. Larson | 5 | 77 | 10.45 |