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HICSS
2010
IEEE
258views Biometrics» more  HICSS 2010»
14 years 10 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...
KDD
2009
ACM
190views Data Mining» more  KDD 2009»
15 years 10 months ago
Named entity mining from click-through data using weakly supervised latent dirichlet allocation
This paper addresses Named Entity Mining (NEM), in which we mine knowledge about named entities such as movies, games, and books from a huge amount of data. NEM is potentially use...
Gu Xu, Shuang-Hong Yang, Hang Li
ICDM
2007
IEEE
147views Data Mining» more  ICDM 2007»
15 years 1 months ago
Improving Knowledge Discovery in Document Collections through Combining Text Retrieval and Link Analysis Techniques
In this paper, we present Concept Chain Queries (CCQ), a special case of text mining in document collections focusing on detecting links between two topics across text documents. ...
Wei Jin, Rohini K. Srihari, Hung Hay Ho, Xin Wu
ICWSM
2008
14 years 11 months ago
Wikipedia as an Ontology for Describing Documents
Identifying topics and concepts associated with a set of documents is a task common to many applications. It can help in the annotation and categorization of documents and be used...
Zareen Saba Syed, Tim Finin, Anupam Joshi
COLING
2000
14 years 11 months ago
The effects of analysing cohesion on document summarisation
We argue that in general, the analysis of lexical cohesion factors in a document can drive a summarizer, as well as enable other content characterization tasks. More narrowly, thi...
Branimir Boguraev, Mary S. Neff