Workshop on Intelligent Text Categorization and Clustering

 

Automatic Text Categorization and Clustering are becoming more and more important as the amount of text in electronic format grows and the access to it becomes more necessary and widespread. Well known applications are spam filtering and web search, but a large number of everyday uses exist (intelligent web search, data mining, law enforcement, etc). Currently, researchers are employing many intelligent techniques for text categorization and clustering, ranging from support vector machines and neural networks to Bayesian inference and algebraic methods, such as Latent Semantic Indexing. Researchers are encouraged to submit their contributions in both theoretical and practical aspects of Intelligent Categorization and Clustering of Text.

 

The topics of interest include, but are not limited to:

 

1. Computational Intelligence Approaches to Text Classification

2. Intelligent Information Retrieval

3. Document Representation for Intelligent Text Classification

4. Evaluation of Text Classifiers

5. Applications

 

  Prospective authors of high quality research contributions are invited to submit an electronic copy of their manuscript not exceeding 6 pages including figures and references in IEEE format used in ISDA. For more details, see ISDA'2007 submission page . All papers should be submitted electronically via Online Paper Submission System .

 

 

Important Dates

Paper Submission: April 16th, 2007

Notification of Acceptance: June 1st, 2007

Final Paper Submission: June 15th, 2007

 

 

Program Committee

Alberto Ferreira de Souza (UFES, Brazil) (co-Chair)

Eliana Zandonade (UFES, Brazil)

Elias de Oliveira (UFES, Brazil)

Felipe Maia Galvão França (UFRJ, Brazil) (co-Chair)

Gabriella Sanniti di Baja (Istituto di Cibernetica-CNR, Italy)

Hannu Ahonen (UFES, Brazil)

Jun Okamoto Jr (USP, Brazil)

Maria Chli (Aston University, UK)

Massimo De Gregorio (Istituto di Cibernetica-CNR, Italy)

Priscila Machado Vieira Lima (CEDERJ, Brazil)