Name
Abstract | ||
|---|---|---|
•Prominent aspects are representatives of customer concerns for the given product.•High-quality aspects cover most customer concerns with little semantic overlap.•The linguistic knowledge and corpus statistics-based knowledge empower the extraction. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.ipm.2018.11.006 | Information Processing & Management |
Keywords | Field | DocType |
Prominent aspect extraction,Unsupervised learning,Topic modeling,Word embedding | Graph,Information retrieval,Computer science,Product type,Customer reviews,Product reviews,WordNet | Journal |
Volume | Issue | ISSN |
56 | 3 | 0306-4573 |
Citations | PageRank | References |
3 | 0.40 | 33 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhiyi Luo | 1 | 7 | 2.18 |
| Shanshan Huang | 2 | 33 | 8.82 |
| Kenny Qili Zhu | 3 | 400 | 39.16 |