Seminar Details
| Date |
30-7-2004 |
| Time |
11:30 |
| Room/Location |
Conference room (322) |
| Title |
Text Mining at Detail Level using Conceptual Graphs |
| Speaker |
Manuel Montes y Gomez |
| Affiliation |
Computer Science Department, National Institute of Astrophysics, Optics and Electronics of Mexico |
| Link |
https://www.disi.unige.it/person/RovettaS/seminars.html
|
| Abstract |
Text mining is defined as knowledge discovery in large text collections. It detects
interesting patterns such as clusters, associations, deviations, similarities, and
differences in sets of texts. Current text mining methods use simplistic representations
of text contents, such as keyword vectors, which imply serious limitations on the kind
and meaningfulness of possible discoveries. I will show how to do some typical mining
tasks using conceptual graphs as formal but meaningful representation of texts. Our
methods involve qualitative and quantitative comparison of conceptual graphs,
conceptual clustering, building a conceptual hierarchy, and application of data mining
techniques to this hierarchy in order to detect interesting associations and deviations.
Our experiments show that, despite widespread misbelief, detailed meaningful mining
with conceptual graphs is computationally affordable. |
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