Name
Title | ||
|---|---|---|
Security topics related microblogs search based on deep convolutional neural networks |
Abstract | ||
|---|---|---|
Social network information search, especially for microblog search, has been one of the research hotspots in the domain of information search. For complexities of microblog data on arbitrary typing and semantic ambiguity, classical approaches cannot be directly adopted. In this paper, we propose a security topics related microblogs search model based on deep convolutional neural networks (DCNN-CSTRS) to search microblogs similar to a specific security topic contents. This method is trained to capture local semantic features of short microblog texts to filter security topics related contents from microblogs. A matching model based on deep convolution neural network is designed to rank the results by matching the extracted local features of queries and documents respectively through non-linear feature transformations of the convolution and pooling. The matching model ranks the pairs of query-document by similarities. Experimental results demonstrate that the proposed approach performs better compared with the state-of-the-art methods. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.neucom.2018.09.105 | Neurocomputing |
Keywords | DocType | Volume |
Microblog search,Deep convolutional neural networks,Deep learning,Ranking model,Similarity matching | Journal | 395 |
ISSN | Citations | PageRank |
0925-2312 | 0 | 0.34 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nan Zhou | 1 | 0 | 0.68 |
| Junping Du | 2 | 789 | 91.80 |
| Zhe Xue | 3 | 72 | 14.60 |
| Meiyu Liang | 4 | 18 | 8.56 |
| Xu Yao | 5 | 0 | 0.68 |
| Wanqiu Cui | 6 | 0 | 0.34 |