Name
Abstract | ||
|---|---|---|
Abstract: In the field of Text Mining, a key phase in data preparation is concerned with the extraction of terms, i.e. collocation of words attached to specific concepts (e.g. Philosophy-Dissertation). In this paper, Term Extraction is formalized as a supervised learning task, extracting a ranking hypothesis from a set of terms labeled as relevant/irrelevant by the expert. This task is tackled using the evolutionary algorithm ROGER, optimizing the area under the ROC curve attached to a ranking... |
Year | Venue | Keywords |
|---|---|---|
2004 | ROCAI | roc curve,evolutionary algorithm,supervised learning,text mining |
Field | DocType | Citations |
Text mining,Evolutionary algorithm,Ranking,Supervised learning,Curriculum,Artificial intelligence,Data preparation,Machine learning,Mathematics,Terminology extraction,Collocation | Conference | 12 |
PageRank | References | Authors |
0.67 | 24 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mathieu Roche | 1 | 96 | 24.74 |
| Jérôme Azé | 2 | 73 | 15.66 |
| Yves Kodratoff | 3 | 581 | 172.25 |
| Michèle Sebag | 4 | 1547 | 138.94 |