Text Classification: Established Methods Deliver Good Enough Results
April 26, 2018
Short honk: If you are a cheerleader for automatic classification of text centric content objects, you are convinced that today’s systems are home run hitters. If you have some doubts, you will want to scan the data in “Machine Learning for Text Categorization: Experiments Using Clustering and Classification.” The paper was free when I checked at 920 am US Eastern time. For the test sets, Latent Dirichlet Allocation performed better than other widely used methods. Worth a look. From my vantage point in Harrod’s Creek, automated processes, regardless of method, perform in a manner one expert explained to me at Cebit several years ago: “Systems are good enough.” Improvements are now incremental but like getting the last few percentage ticks of pollutants from a catalytic converter, an expensive and challenging engineering task.
Stephen E Arnold, April 26, 2018
Comments
One Response to “Text Classification: Established Methods Deliver Good Enough Results”
-
- Subscribe to Beyond Search
Feature archive
News archive
-
?????????????
Text Classification: Established Methods Deliver Good Enough Results : Stephen E. Arnold @ Beyond Search