Timeline for How to construct an optimally balanced reference corpus for text categorization?
Current License: CC BY-SA 3.0
5 events
| when toggle format | what | by | license | comment | |
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| Jul 5, 2012 at 11:25 | history | edited | image_doctor | CC BY-SA 3.0 |
add warning for 2.
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| Jul 5, 2012 at 10:11 | comment | added | image_doctor | @mathias Let us know how it goes, cheers :) | |
| Jul 5, 2012 at 6:55 | comment | added | image_doctor | @mathias I doubt if these approaches are optimal, but at least things are going in the right direction :) | |
| Jul 5, 2012 at 6:34 | comment | added | Mathias Loesch | Thanks four your suggestions. I tried number one and constructed a corpus by selecting the 100 documents with the smallest Euclidean distances from the class centroids (122 classes and 12200 documents in total). The categorization performance in terms of average F1 was 0.485 compared to 0.319 in the case of randomly selected documents. Next, I am going to try the other two. | |
| Jul 3, 2012 at 16:22 | history | answered | image_doctor | CC BY-SA 3.0 |