%0 Journal Article %1 Sebastiani02 %A Sebastiani, F. %D 2002 %J ACM Computing Surveys %K learning text averaging macro classification categorization micro machine %N 1 %P 1--47 %T Machine learning in automated text categorization %U http://faure.iei.pi.cnr.it/~fabrizio/Publications/ACMCS02.pdf %V 34

@article{Sebastiani02, added-at = {2006-03-20T10:18:43.000+0100}, author = {Sebastiani, F.}, bb-further-address = {--Dordrecht--London}, biburl = {https://www.bibsonomy.org/bibtex/20fe0d5dd12c2cb59dfc330e684ec4b4a/schmitz}, description = {*** Microaveraging: π and ρ are obtained by summing over all individual decisions where “µ” indicates microaveraging. The “global” contingency table is thus obtained by sum- ming over category-specific contingency tables; *** Macroaveraging: precision and recall are first evaluated “locally” for each category, and then “globally” by averaging over the results of the different categories.}, interhash = {d945d9218673dad37dc2a06cbf9e554c}, intrahash = {0fe0d5dd12c2cb59dfc330e684ec4b4a}, journal = {ACM Computing Surveys}, keywords = {learning text averaging macro classification categorization micro machine}, number = 1, pages = {1--47}, timestamp = {2006-03-20T10:18:43.000+0100}, title = {Machine learning in automated text categorization}, url = {http://faure.iei.pi.cnr.it/~fabrizio/Publications/ACMCS02.pdf}, volume = 34, year = 2002 }