Integrate Text Clustering Features in Text Categorization System

Lecture slides:

• Integrate Text Clustering Features in Text Categorization System
• Outline pt 1
• Automatic Text Categorization
• A New idea for ATC
• Basic Algorithm 1: FIFA
• Output of FIFA
• Basic Algorithm 2: MPCA
• Output of MPCA
• The Integration Algorithm
• Step 1: Topic pre-selection
• Step 2: Document pre-selection
• Step 3: Label the clusters
• Step 4: Topic information feedback
• Step 5: Information combination
• Outline pt 2
• Experiment 1: 863 data set
• Experimental result: 863 data set
• 863 data set: some examples
• Experimental result analysis
• Experiment 2: FD data set
• Experimental result: Precision
• Experimental result: Recall
• Experimental result: F1-Measure
• Experimental result: Overall
• Conclusions

Author: Qiang Zhou, University Of Tsinghua