Add to ORKGC. Peters, T. Deselaers, N. Ferro, J. Gonzalo, G. J. F. Jones, M. Kurimo, T. Mandl, A. Peñas, V. Petras (Eds.)International audienceWe propose in this paper an adaptation of the k-Nearest Neighbor (k-NN) algorithm using category specific thresholds in a multiclass environment where a document can belong to more than one class. Our method uses feedback to tune the thresholds and in turn the classification performance over time. The experiments were run on the InFile data, comprising 100,000 English documents and 50 topics
Text classification is the process of grouping documents based on similarity in categories. Some of ...
In this paper, a fast k nearest neighbors (k-NN) classifier for documents is presented. Documents ar...
k - Nearest Neighbor Rule is a well-known technique for text classification. The reason behind this ...
C. Peters, T. Deselaers, N. Ferro, J. Gonzalo, G. J. F. Jones, M. Kurimo, T. Mandl, A. Peñas, V. Pet...
International audienceThis paper has been written as a part of the InFile (INFormation, FILtering, E...
International audienceThis paper has been written as a part of the InFile (INFormation, FILtering, E...
International audienceThis paper has been written as a part of the InFile (INFormation, FILtering, E...
This paper describes the participation of LIG lab, in the batch filtering task for the INFILE (INfor...
k is the most important parameter in a text categorization system based on the k-nearest neighbor al...
Abstract- Over the last twenty years, text classification has become one of the key techniques for o...
Predefined category exists for text categorization. In a document, text may be of any type category ...
This paper presents a new approach to improve the performance of a css-k-NN classifier for categoriz...
This paper presents a new approach to improve the performance of a css-k-NN classifier for categoriz...
The availability of a lot of existing Standard Operating Procedures (SOP) document information, user...
Categorization of documents is challenging, as the number of discriminating words can be very large....
Text classification is the process of grouping documents based on similarity in categories. Some of ...
In this paper, a fast k nearest neighbors (k-NN) classifier for documents is presented. Documents ar...
k - Nearest Neighbor Rule is a well-known technique for text classification. The reason behind this ...
C. Peters, T. Deselaers, N. Ferro, J. Gonzalo, G. J. F. Jones, M. Kurimo, T. Mandl, A. Peñas, V. Pet...
International audienceThis paper has been written as a part of the InFile (INFormation, FILtering, E...
International audienceThis paper has been written as a part of the InFile (INFormation, FILtering, E...
International audienceThis paper has been written as a part of the InFile (INFormation, FILtering, E...
This paper describes the participation of LIG lab, in the batch filtering task for the INFILE (INfor...
k is the most important parameter in a text categorization system based on the k-nearest neighbor al...
Abstract- Over the last twenty years, text classification has become one of the key techniques for o...
Predefined category exists for text categorization. In a document, text may be of any type category ...
This paper presents a new approach to improve the performance of a css-k-NN classifier for categoriz...
This paper presents a new approach to improve the performance of a css-k-NN classifier for categoriz...
The availability of a lot of existing Standard Operating Procedures (SOP) document information, user...
Categorization of documents is challenging, as the number of discriminating words can be very large....
Text classification is the process of grouping documents based on similarity in categories. Some of ...
In this paper, a fast k nearest neighbors (k-NN) classifier for documents is presented. Documents ar...
k - Nearest Neighbor Rule is a well-known technique for text classification. The reason behind this ...