1. Text Categorization Chapter 16 Foundations of Statistical Natural Language Processing

10. E.g. A trained decision tree for category “earnings” Doc = {cts=1, net =3} Node1 7681 articles P(c|n1) = 0.3000 split: cts value: 2 Node2 5977 articles P(c|n2) = 0.116 split: net value: 1 Node5 1704 articles P(c|n5) = 0.943 split: vs value: 2 Node3 5436 articles P(c|n3) = 0.050 Node4 541 articles P(c|n4) = 0.649 Node6 301 articles P(c|n6) = 0.694 Node7 1403 articles P(c|n7) = 0.996 cts < 2 cts >= 2 net<1 Net>= 1 vs <2 vs >= 2

31. E.g. w x x w+x s’ s Yes No

37. Thanks!