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Download statistics - Document (COUNTER):
Shivakumaraswamy, R.; Beyer, C.; Unnikrishnan, V.; Ntoutsi, Eirini; Spiliopoulou, M.: Active feature acquisition for opinion stream classification under drift. In: CEUR Workshop Proceedings 2444 (2019), S. 108-111.
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Selected time period:
Sum total of downloads: 84
| Abstract: | |
Active stream learning is frequently used to acquire labels for instances and less frequently to determine which features should be considered as the stream evolves. We introduce a framework for active feature selection, intended to adapt the feature space of a polarity learner over a stream of opinionated documents. We report on the first results of our framework on substreams of reviews on different product categories. | |
| License of this version: | CC BY 4.0 Unported |
| Document Type: | article |
| Publishing status: | publishedVersion |
| Issue Date: | 2019 |
| Appears in Collections: | Fakultät für Elektrotechnik und Informatik |
distribution of downloads over the selected time period:
downloads by country:
| pos. | country | downloads | ||
|---|---|---|---|---|
| total | perc. | |||
| 1 |  |
Germany | 36 | 42.86% |
| 2 |  |
United States | 19 | 22.62% |
| 3 |  |
Brazil | 11 | 13.10% |
| 4 |  |
India | 3 | 3.57% |
| 5 |  |
Iran, Islamic Republic of | 2 | 2.38% |
| 6 |  |
Hong Kong | 2 | 2.38% |
| 7 |  |
China | 2 | 2.38% |
| 8 |  |
Vietnam | 1 | 1.19% |
| 9 |  |
No geo information available | 1 | 1.19% |
| 10 |  |
Taiwan | 1 | 1.19% |
| other countries | 6 | 7.14% | ||
Further download figures and rankings:
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