Timeline for k-means and LDA for text classification: how to test accuracy?
Current License: CC BY-SA 4.0
6 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Oct 1, 2021 at 18:59 | vote | accept | Math | ||
| Jun 23, 2020 at 9:30 | answer | added | Kasra Manshaei | timeline score: 3 | |
| Jun 23, 2020 at 7:08 | answer | added | Borut Flis | timeline score: 0 | |
| Jun 22, 2020 at 12:50 | comment | added | Math | Thank you so much Borut. I am trying to use k-means for grouping tweets and hopefully labelling them. Do you think it could be something doable? | |
| Jun 22, 2020 at 9:54 | comment | added | Borut Flis | I am no expert, in fact I am learning about k-means as we speak. Having said, k-means is unsupervised learning, meaning you have no labels for the data. Therefore it is the right approach for your data. However, this means you cannot measure accuracy of classification, since no labels or involved. There is a score called silhouette which measures the fit of the data to varied number of clusters. | |
| Jun 22, 2020 at 9:48 | history | asked | Math | CC BY-SA 4.0 |