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International Workshop on Intelligent Information Access
Pascal

Integrate Text Clustering Features in Text Categorization System

author: Qiang Zhou, University of Tsinghua
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Slides
0:00 Integrate Text Clustering Features in Text Categorization System
0:32 Outline pt 1
1:02 Automatic Text Categorization
2:10 A New idea for ATC
3:13 Basic Algorithm 1: FIFA
4:26 Output of FIFA
5:24 Basic Algorithm 2: MPCA
6:34 Output of MPCA
7:58 The Integration Algorithm
9:29 Step 1: Topic pre-selection
11:28 Step 2: Document pre-selection
12:07 Step 3: Label the clusters
12:35 Step 4: Topic information feedback
13:07 Step 5: Information combination
14:01 Outline pt 2
14:12 Experiment 1: 863 data set
16:20 Experimental result (1): 863 data set
16:59 Experimental result (2): 863 data set
17:28 863 data set: some examples pt 1
17:46 863 data set: some examples pt 2
18:09 863 data set: some examples pt 3
18:29 863 data set: some examples pt 4
19:04 Experimental result analysis
21:22 Experiment 2: FD data set
21:59 Experimental result: Precision
22:31 Experimental result: Recall
22:33 Experimental result: F1-Measure
22:36 Experimental result: Overall
22:55 Conclusions

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