DOIAbstract
In this paper, we report on the identification of document type using a k-dependence Bayesian categorization engine. In particular, we show that the use of font and capitalization as features improves precision and recall
In this paper, we report on the identification of document type using a k-dependence Bayesian categorization engine. In particular, we show that the use of font and capitalization as features improves precision and recall
Most research on automated text categorization has focused on determining the topic of a given text....
Each document in a multi-label classification is connected to a subset of labels. These documents us...
This work deals with document classification. It is a supervised learning method (it needs a labeled...
In this paper, we report on the identification of document type using a k-dependence Bayesian catego...
In this paper, we present a Bayesian classification approach for automatic text categorization using...
Abstract: One of the problems faced by document categorization is that terms present in the collecti...
The automated classification of texts into predefined categories has witnessed a booming interest, d...
The most common features that classification systems use is simply to consider all words as features...
The work presents the field of document classification. It describes existing techniques with emphas...
This paper describes automatic document categorization based on large text hierarchy. We handle the...
Abstract. This paper presents a method for document type recognition when a database of document typ...
We tackle two different problems of text categorization (TC), namely feature selection and classifie...
International audienceThis paper presents a system dedicated to automatic recognition of both the wr...
Sensitive Unclassified information is defined as any unclassified information that may cause adverse...
Abstract—Huge number of documents are increasing rapidly, therefore, to organize it in digitized for...
Most research on automated text categorization has focused on determining the topic of a given text....
Each document in a multi-label classification is connected to a subset of labels. These documents us...
This work deals with document classification. It is a supervised learning method (it needs a labeled...
In this paper, we report on the identification of document type using a k-dependence Bayesian catego...
In this paper, we present a Bayesian classification approach for automatic text categorization using...
Abstract: One of the problems faced by document categorization is that terms present in the collecti...
The automated classification of texts into predefined categories has witnessed a booming interest, d...
The most common features that classification systems use is simply to consider all words as features...
The work presents the field of document classification. It describes existing techniques with emphas...
This paper describes automatic document categorization based on large text hierarchy. We handle the...
Abstract. This paper presents a method for document type recognition when a database of document typ...
We tackle two different problems of text categorization (TC), namely feature selection and classifie...
International audienceThis paper presents a system dedicated to automatic recognition of both the wr...
Sensitive Unclassified information is defined as any unclassified information that may cause adverse...
Abstract—Huge number of documents are increasing rapidly, therefore, to organize it in digitized for...
Most research on automated text categorization has focused on determining the topic of a given text....
Each document in a multi-label classification is connected to a subset of labels. These documents us...
This work deals with document classification. It is a supervised learning method (it needs a labeled...
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