Name
Abstract | ||
|---|---|---|
The availability of innumerable sources of online news has benefitted the masses as they have opportunity to gather news from a diverse set of sources. However, classification of this huge data being generated on regular basis has never been a simple task. This textual information can be invaluable only when it is processed to maximize its usefulness which is possible with automated text classific... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ACIT53391.2021.9677431 | 2021 22nd International Arab Conference on Information Technology (ACIT) |
Keywords | DocType | ISBN |
Support vector machines,Sentiment analysis,Machine learning algorithms,Text categorization,Linear regression,User experience,Task analysis | Conference | 978-1-6654-1995-6 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Anum Ilyas | 1 | 0 | 0.34 |
| Surayya Obaid | 2 | 0 | 0.34 |
| Narmeen Zakaria Bawany | 3 | 1 | 1.06 |