Search engine for discovering works of Art, research articles, and books related to Art and Culture
Javascript must be enabled to continue!
Towards a Semantic Classifier Committee based on Rocchio
View through CrossRef
This paper concerns supervised classification of text. Rocchio, the method we choose for its efficiency and extensibility, is tested on three reference corpora “20NewsGroups”, “OHSUMED” and “Reuters”, using several similarity measures. Analyzing statistical results, many limitations are identified and discussed. In order to overcome these limitations, this paper presents two main solutions: first constituting Rocchio-based classifier committees, and then using semantic resources (ontologies) in order to take meaning into consideration during text classification. These two approaches can be combined in a Rocchio-based semantic classifier committee.
Title: Towards a Semantic Classifier Committee based on Rocchio
Description:
This paper concerns supervised classification of text.
Rocchio, the method we choose for its efficiency and extensibility, is tested on three reference corpora “20NewsGroups”, “OHSUMED” and “Reuters”, using several similarity measures.
Analyzing statistical results, many limitations are identified and discussed.
In order to overcome these limitations, this paper presents two main solutions: first constituting Rocchio-based classifier committees, and then using semantic resources (ontologies) in order to take meaning into consideration during text classification.
These two approaches can be combined in a Rocchio-based semantic classifier committee.
Related Results
British Food Journal Volume 46 Issue 11 1944
British Food Journal Volume 46 Issue 11 1944
1. From the information given to the Committee by members of the trade the following conclusions were drawn : (i) Four main types of product are sold under a name commonly includin...
Metode Klasifikasi Rocchio untuk Analisis Hoax
Metode Klasifikasi Rocchio untuk Analisis Hoax
<p>Hoax adalah informasi sesat dan berbahaya karena menyesatkan persepsi manusia dengan menyampaikan informasi palsu sebagai kebenaran. Hoax sendiri dapat bertujuan untuk mem...
A Semantic Orthogonal Mapping Method Through Deep-Learning for Semantic Computing
A Semantic Orthogonal Mapping Method Through Deep-Learning for Semantic Computing
In order to realize an artificial intelligent system, a basic mechanism should be provided for expressing and processing the semantic. We have presented semantic computing models i...
Numeral Classifiers Used in the Cookbooks
Numeral Classifiers Used in the Cookbooks
<p>This article is aimed at describing numeral classifier used in the cookbooks. The data were collected through the observation, which is observation of the cookbooks. Throu...
Exploiting Wikipedia Semantics for Computing Word Associations
Exploiting Wikipedia Semantics for Computing Word Associations
<p><b>Semantic association computation is the process of automatically quantifying the strength of a semantic connection between two textual units based on various lexi...
Combining Convolutional Neural Network and Markov Random Field for Semantic Image Retrieval
Combining Convolutional Neural Network and Markov Random Field for Semantic Image Retrieval
With the rapidly growing number of images over the Internet, efficient scalable semantic image retrieval becomes increasingly important. This paper presents a novel approach for se...
British Food Journal Volume 46 Issue 12 1944
British Food Journal Volume 46 Issue 12 1944
1. The Committee have received a request from the Tea and Coffee Division for advice as to appropriate standards for liquid “coffee essences” including coffee and chicory essences,...
Proceedings of the 21st International Ship and Offshore Structures Congress VOLUME 3 Discussions Revision 1
Proceedings of the 21st International Ship and Offshore Structures Congress VOLUME 3 Discussions Revision 1
Committee I.1: Environment
Alexander Babanin (Chair); Mariana Bernardino; Franz von Bock und Polach; Ricardo Campos,; Jun Ding; Sanne van Essen; Tomaso Gaggero; M...