In this paper, we introduce Sequential Classifiers Combination (SCC) into text categorization to improve both the classification effectiveness and ...

Abstract. In this paper, we introduce Sequential Classifiers Combination. (SCC) into text categorization to improve both the classification effectiveness.

Lewis, D.D.: An evaluation of phrasal and clustered representations on a text categorization task. · Yang, Y.: Expert network: effective and efficient learning ...

In this paper, we introduce Sequential Classifiers Combination (SCC) into text categorization to improve both the classification effectiveness and ...

Missing: Sequential | Show results with:Sequential

The original method we propose here consists in mining sequential patterns in order to build a classifier. We experimentally show that our proposal is relevant, ...

An algorithm for sequential sampling during machine learning of statistical classifiers was developed and tested on a newswire text categorization task and ...

We employ a dual evaluation approach: empirical and experimental. Empirically, we assess text classification techniques across four critical criteria.

We describe how we integrate the indicator variables with base-level features and scores output by classifiers to build metaclassifiers that improve text ...

Abstract. Sequential Text Classification (STC) aims to classify a se- quence of text fragments (e.g., words in a sentence or sen-.