Name
Title | ||
|---|---|---|
Online Biterm Topic Model based short text stream classification using short text expansion and concept drifting detection. |
Abstract | ||
|---|---|---|
•Further alleviate the sparseness of short texts using an external corpus.•Topic based representation in online BTM decreases the high-dimension of short texts.•Topic model based method can effectively detect hidden concept drifts in short texts.•Achieve a better performance in the classification and concept drifting detection. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.patrec.2018.10.018 | Pattern Recognition Letters |
Keywords | Field | DocType |
Short text streams,Classification,Concept drifting,Online BTM | Data mining,Ensemble forecasting,Pattern recognition,Concept drift,Biterm topic model,Artificial intelligence,Topic model,Concept drifting,Text stream,Mathematics | Journal |
Volume | ISSN | Citations |
116 | 0167-8655 | 1 |
PageRank | References | Authors |
0.35 | 17 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xuegang Hu | 1 | 442 | 44.50 |
| Haiyan Wang | 2 | 39 | 16.48 |
| Peipei Li | 3 | 140 | 17.30 |