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A Pruned Problem Transformation Method for Multi-label Classification Jesse Read jmr30@cs.waikato.ac.nz University of Waikato A Pruned Problem Transformation Method for Multi-label Classification p. 1/2 Outline Single-label classification


  1. A Pruned Problem Transformation Method for Multi-label Classification Jesse Read jmr30@cs.waikato.ac.nz University of Waikato A Pruned Problem Transformation Method for Multi-label Classification – p. 1/2

  2. Outline Single-label classification Multi-label classification Problem Transformation Binary Method Combination Method PPT: A P runed P roblem T ransformation method Experiments I PPT-ext: PPT extended Experiments II Summary A Pruned Problem Transformation Method for Multi-label Classification – p. 2/2

  3. Single-label (Multi-class) Classification Set of documents D . Set of labels L . For each d ∈ D , select a label l ∈ L Single-label representation: ( d, l ) A Pruned Problem Transformation Method for Multi-label Classification – p. 3/2

  4. Single-label (Multi-class) Classification Set of documents D . Set of labels L . For each d ∈ D , select a label l ∈ L Single-label representation: ( d, l ) e.g. L = { Sport, Environment, Science, Politics } : Document ( d ∈ D ) Label ( l ∈ L ) “NZ scientists help discover solar system in our galaxy. . . ” “Antarctic food chain in danger. . . ” “Top sports stars fuelling success. . . ” “Steeled for ironman. . . ” “Greens claim report doctored. . . ” “Revealed: Polluting impact of humans on the oceans. . . ” “Union muzzled while awaiting poll watchdog’s ruling. . . ” “Technology pushes sporting boundaries. . . ” A Pruned Problem Transformation Method for Multi-label Classification – p. 3/2

  5. Single-label (Multi-class) Classification Set of documents D . Set of labels L . For each d ∈ D , select a label l ∈ L Single-label representation: ( d, l ) e.g. L = { Sport, Environment, Science, Politics } : Document ( d ∈ D ) Label ( l ∈ L ) “NZ scientists help discover solar system in our galaxy. . . ” Science “Antarctic food chain in danger. . . ” “Top sports stars fuelling success. . . ” “Steeled for ironman. . . ” “Greens claim report doctored. . . ” “Revealed: Polluting impact of humans on the oceans. . . ” “Union muzzled while awaiting poll watchdog’s ruling. . . ” “Technology pushes sporting boundaries. . . ” A Pruned Problem Transformation Method for Multi-label Classification – p. 3/2

  6. Single-label (Multi-class) Classification Set of documents D . Set of labels L . For each d ∈ D , select a label l ∈ L Single-label representation: ( d, l ) e.g. L = { Sport, Environment, Science, Politics } : Document ( d ∈ D ) Label ( l ∈ L ) “NZ scientists help discover solar system in our galaxy. . . ” Science “Antarctic food chain in danger. . . ” Science “Top sports stars fuelling success. . . ” “Steeled for ironman. . . ” “Greens claim report doctored. . . ” “Revealed: Polluting impact of humans on the oceans. . . ” “Union muzzled while awaiting poll watchdog’s ruling. . . ” “Technology pushes sporting boundaries. . . ” A Pruned Problem Transformation Method for Multi-label Classification – p. 3/2

  7. Single-label (Multi-class) Classification Set of documents D . Set of labels L . For each d ∈ D , select a label l ∈ L Single-label representation: ( d, l ) e.g. L = { Sport, Environment, Science, Politics } : Document ( d ∈ D ) Label ( l ∈ L ) “NZ scientists help discover solar system in our galaxy. . . ” Science “Antarctic food chain in danger. . . ” Science “Top sports stars fuelling success. . . ” Sport “Steeled for ironman. . . ” “Greens claim report doctored. . . ” “Revealed: Polluting impact of humans on the oceans. . . ” “Union muzzled while awaiting poll watchdog’s ruling. . . ” “Technology pushes sporting boundaries. . . ” A Pruned Problem Transformation Method for Multi-label Classification – p. 3/2

  8. Single-label (Multi-class) Classification Set of documents D . Set of labels L . For each d ∈ D , select a label l ∈ L Single-label representation: ( d, l ) e.g. L = { Sport, Environment, Science, Politics } : Document ( d ∈ D ) Label ( l ∈ L ) “NZ scientists help discover solar system in our galaxy. . . ” Science “Antarctic food chain in danger. . . ” Science “Top sports stars fuelling success. . . ” Sport “Steeled for ironman. . . ” Sport “Greens claim report doctored. . . ” “Revealed: Polluting impact of humans on the oceans. . . ” “Union muzzled while awaiting poll watchdog’s ruling. . . ” “Technology pushes sporting boundaries. . . ” A Pruned Problem Transformation Method for Multi-label Classification – p. 3/2

  9. Single-label (Multi-class) Classification Set of documents D . Set of labels L . For each d ∈ D , select a label l ∈ L Single-label representation: ( d, l ) e.g. L = { Sport, Environment, Science, Politics } : Document ( d ∈ D ) Label ( l ∈ L ) “NZ scientists help discover solar system in our galaxy. . . ” Science “Antarctic food chain in danger. . . ” Science “Top sports stars fuelling success. . . ” Sport “Steeled for ironman. . . ” Sport “Greens claim report doctored. . . ” Politics “Revealed: Polluting impact of humans on the oceans. . . ” “Union muzzled while awaiting poll watchdog’s ruling. . . ” “Technology pushes sporting boundaries. . . ” A Pruned Problem Transformation Method for Multi-label Classification – p. 3/2

  10. Single-label (Multi-class) Classification Set of documents D . Set of labels L . For each d ∈ D , select a label l ∈ L Single-label representation: ( d, l ) e.g. L = { Sport, Environment, Science, Politics } : Document ( d ∈ D ) Label ( l ∈ L ) “NZ scientists help discover solar system in our galaxy. . . ” Science “Antarctic food chain in danger. . . ” Science “Top sports stars fuelling success. . . ” Sport “Steeled for ironman. . . ” Sport “Greens claim report doctored. . . ” Politics “Revealed: Polluting impact of humans on the oceans. . . ” Environment “Union muzzled while awaiting poll watchdog’s ruling. . . ” “Technology pushes sporting boundaries. . . ” A Pruned Problem Transformation Method for Multi-label Classification – p. 3/2

  11. Single-label (Multi-class) Classification Set of documents D . Set of labels L . For each d ∈ D , select a label l ∈ L Single-label representation: ( d, l ) e.g. L = { Sport, Environment, Science, Politics } : Document ( d ∈ D ) Label ( l ∈ L ) “NZ scientists help discover solar system in our galaxy. . . ” Science “Antarctic food chain in danger. . . ” Science “Top sports stars fuelling success. . . ” Sport “Steeled for ironman. . . ” Sport “Greens claim report doctored. . . ” Politics “Revealed: Polluting impact of humans on the oceans. . . ” Environment “Union muzzled while awaiting poll watchdog’s ruling. . . ” Politics “Technology pushes sporting boundaries. . . ” A Pruned Problem Transformation Method for Multi-label Classification – p. 3/2

  12. Single-label (Multi-class) Classification Set of documents D . Set of labels L . For each d ∈ D , select a label l ∈ L Single-label representation: ( d, l ) e.g. L = { Sport, Environment, Science, Politics } : Document ( d ∈ D ) Label ( l ∈ L ) “NZ scientists help discover solar system in our galaxy. . . ” Science “Antarctic food chain in danger. . . ” Science “Top sports stars fuelling success. . . ” Sport “Steeled for ironman. . . ” Sport “Greens claim report doctored. . . ” Politics “Revealed: Polluting impact of humans on the oceans. . . ” Environment “Union muzzled while awaiting poll watchdog’s ruling. . . ” Politics “Technology pushes sporting boundaries. . . ” Science A Pruned Problem Transformation Method for Multi-label Classification – p. 3/2

  13. Multi-label Classification Set of documents D . Set of labels L . For each d ∈ D , select a label subset S ⊆ L Multi-label representation: ( d, S ) A Pruned Problem Transformation Method for Multi-label Classification – p. 4/2

  14. Multi-label Classification Set of documents D . Set of labels L . For each d ∈ D , select a label subset S ⊆ L Multi-label representation: ( d, S ) e.g. L = { Sport, Environment, Science, Politics } : Document ( d ∈ D ) Label ( S ⊆ L ) “NZ scientists help discover solar system in our galaxy. . . ” “Antarctic food chain in danger. . . ” “Top sports stars fuelling success. . . ” “Steeled for ironman. . . ” “Greens claim report doctored. . . ” “Revealed: Polluting impact of humans on the oceans. . . ” “Union muzzled while awaiting poll watchdog’s ruling. . . ” “Technology pushes sporting boundaries. . . ” A Pruned Problem Transformation Method for Multi-label Classification – p. 4/2

  15. Multi-label Classification Set of documents D . Set of labels L . For each d ∈ D , select a label subset S ⊆ L Multi-label representation: ( d, S ) e.g. L = { Sport, Environment, Science, Politics } : Document ( d ∈ D ) Label ( S ⊆ L ) “NZ scientists help discover solar system in our galaxy. . . ” { Science } “Antarctic food chain in danger. . . ” “Top sports stars fuelling success. . . ” “Steeled for ironman. . . ” “Greens claim report doctored. . . ” “Revealed: Polluting impact of humans on the oceans. . . ” “Union muzzled while awaiting poll watchdog’s ruling. . . ” “Technology pushes sporting boundaries. . . ” A Pruned Problem Transformation Method for Multi-label Classification – p. 4/2

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