TY - GEN
T1 - A topic detection method based on Semantic Dependency Distance and PLSA
AU - Chen, Yan
AU - Yang, Yang
AU - Zhang, Huisan
AU - Zhu, Haiping
AU - Tian, Feng
PY - 2012
Y1 - 2012
N2 - Topic detection is a hot topic in the field of text mining. In this paper, focusing on the Chinese interactive text, we explored a novel topic detection method, named SDD-PLSA, which integrates Semantic Dependency Distance (SDD) and PLSA. It not only has the advantages of PLSA, which is an efficient, effective method and is widely used in text mining, but also considers the semantic and syntax information. Thus, the problem of lacking semantic information in PLSA can be avoided. SDD-PLSA has two main steps. The first is using SDD to classify the sentences that have a high similarity in semantics into several groups according to semantic feature extraction of the interactive text. Then, a PLSA classifier is used upon the result of the first step. The experiments show that the accuracy of detection on love topic has been improved to 64.8% when using SDD-PLSA, better than 55.4% when using PLSA.
AB - Topic detection is a hot topic in the field of text mining. In this paper, focusing on the Chinese interactive text, we explored a novel topic detection method, named SDD-PLSA, which integrates Semantic Dependency Distance (SDD) and PLSA. It not only has the advantages of PLSA, which is an efficient, effective method and is widely used in text mining, but also considers the semantic and syntax information. Thus, the problem of lacking semantic information in PLSA can be avoided. SDD-PLSA has two main steps. The first is using SDD to classify the sentences that have a high similarity in semantics into several groups according to semantic feature extraction of the interactive text. Then, a PLSA classifier is used upon the result of the first step. The experiments show that the accuracy of detection on love topic has been improved to 64.8% when using SDD-PLSA, better than 55.4% when using PLSA.
KW - E-learning
KW - Interactive Text
KW - PLSA
KW - Semantic Dependency Distance
KW - Topic Detection
UR - https://www.scopus.com/pages/publications/84864210080
U2 - 10.1109/CSCWD.2012.6221895
DO - 10.1109/CSCWD.2012.6221895
M3 - 会议稿件
AN - SCOPUS:84864210080
SN - 9781467312127
T3 - Proceedings of the 2012 IEEE 16th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2012
SP - 703
EP - 708
BT - Proceedings of the 2012 IEEE 16th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2012
T2 - 2012 IEEE 16th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2012
Y2 - 23 May 2012 through 25 May 2012
ER -