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HICSS
2010
IEEE
258views Biometrics» more  HICSS 2010»
15 years 3 months ago
An Empirical Comparison of Four Text Mining Methods
The amount of textual data that is available for researchers and businesses to analyze is increasing at a dramatic rate. This reality has led IS researchers to investigate various...
Sangno Lee, Jeff Baker, Jaeki Song, James C. Wethe...

Publication
200views
13 years 11 months ago
Learning Tags from Unsegmented Videos of Multiple Human Actions
Providing methods to support semantic interaction with growing volumes of video data is an increasingly important challenge for data mining. To this end, there has been some succes...
Timothy Hospedales, Shaogang Gong, Tao Xiang
FSKD
2009
Springer
145views Fuzzy Logic» more  FSKD 2009»
15 years 9 months ago
Chinese Web Comments Clustering Analysis with a Two-phase Method
Usually a meaningful web topic has tens of thousands of comments, especially the hot topics. It is valuable if we congregate the comments into clusters and find out the mainstrea...
Yexin Wang, Li Zhao, Yan Zhang
ICDM
2008
IEEE
172views Data Mining» more  ICDM 2008»
15 years 9 months ago
Latent Dirichlet Allocation and Singular Value Decomposition Based Multi-document Summarization
Multi-Document Summarization deals with computing a summary for a set of related articles such that they give the user a general view about the events. One of the objectives is th...
Rachit Arora, Balaraman Ravindran
SIGIR
2004
ACM
15 years 8 months ago
Focused named entity recognition using machine learning
In this paper we study the problem of finding most topical named entities among all entities in a document, which we refer to as focused named entity recognition. We show that th...
Li Zhang, Yue Pan, Tong Zhang