Name
Abstract | ||
|---|---|---|
We describe an original method that automatically finds specific topics in a large collection of texts. Each topic is first identified as a specific cluster of texts and then represented as a virtual concept, which is a weighted mixture of words. Our intention is to employ these virtual concepts in document indexing.In this paper we show some preliminary experimental results and discuss directions of future work. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.3115/1219079.1219086 | ACL (Student Research Workshop) |
Field | DocType | Volume |
Information retrieval,Computer science,Natural language processing,Artificial intelligence | Conference | P04-2 |
Citations | PageRank | References |
1 | 0.36 | 6 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Martin Holub | 1 | 28 | 8.55 |
| Jirí Semecký | 2 | 21 | 3.29 |
| Jiří Diviš | 3 | 1 | 0.36 |