Name
Abstract | ||
|---|---|---|
This paper proposes a Term Field Based Term Co-occurrence Model, which consults the concept of field in physics, interpreting how to get the functional relations of terms' correlation and their distance. The result of experiments illuminates that this model is not a "descending model" simply and there are two segments in the change trend of terms` correlation in evidence, which interprets the phenomenon from linguistics practice that terms' correlation is almost a constant in a small distance. Keywords: Term field, Term co-occurrence, Information Retrieval, Text mining |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/SKG.2007.276 | SKG |
Keywords | Field | DocType |
computational linguistics,information retrieval,text analysis,functional relations,linguistic practice,physics,term co-occurrence model,term field research | Data mining,Computer science,Computational linguistics,Co-occurrence,Phenomenon | Conference |
ISBN | Citations | PageRank |
0-7695-3007-9 | 0 | 0.34 |
References | Authors | |
2 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ya-nan qiao | 1 | 1 | 1.02 |
| Yong Qi | 2 | 610 | 59.72 |
| Hui He | 3 | 0 | 3.04 |