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ACSC
2009
IEEE
14 years 3 months ago
A ConceptLink Graph for Text Structure Mining
Most text mining methods are based on representing documents using a vector space model, commonly known as a bag of word model, where each document is modeled as a linear vector r...
Rowena Chau, Ah Chung Tsoi, Markus Hagenbuchner, V...
JASIS
2006
84views more  JASIS 2006»
13 years 8 months ago
A "stereo" document representation for textual information retrieval
Encouraged by a significant improvement over LSI (latent semantic indexing) approach in textual information retrieval of the DLSI (differential latent semantic indexing) approach ...
Liang Chen, Jia Zeng, Naoyuki Tokuda
FLAIRS
2007
13 years 11 months ago
Indexing Documents by Discourse and Semantic Contents from Automatic Annotations of Texts
The basic aim of the model proposed here is to automatically build semantic metatext structure for texts that would allow us to search and extract discourse and semantic informati...
Brahim Djioua, Jean-Pierre Desclés
WSDM
2010
ACM
215views Data Mining» more  WSDM 2010»
14 years 6 months ago
GeoFolk: Latent spatial semantics in Web 2.0 social media
We describe an approach for multi-modal characterization of social media by combining text features (e.g. tags as a prominent example of short, unstructured text labels) with spat...
Sergej Sizov
CIS
2005
Springer
14 years 2 months ago
Concept Chain Based Text Clustering
Different from familiar clustering objects, text documents have sparse data spaces. A common way of representing a document is as a bag of its component words, but the semantic re...
Shaoxu Song, Jian Zhang, Chunping Li