Text Mining for Ontology Learning
author:
Marko Grobelnik,
Department for Knowledge Technologies, Jožef Stefan Institute
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| Slides | |
| 0:01 | Text-Mining Tutorial |
| 1:19 | What is Text-Mining? |
| 2:28 | Which areas are active in Text Processing? |
| 4:12 | Tutorial Contents |
| 5:41 | Why Text is Tough? (M.Hearst 97) |
| 6:13 | Why Text is Easy? (M.Hearst 97) |
| 6:48 | Levels of Text Processing 1/6 |
| 7:38 | Words Properties |
| 9:44 | Stop-words |
| 10:29 | Words Properties. |
| 10:33 | Stop-words. |
| 12:35 | After the stop-words removal Information Systems Asia Web provides research IS-related commercial materials interaction research sponsorship interested corporations focus Asia Pacific region Survey I |
| 12:45 | Stemming (I) |
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