El objetivo de este trabajo es proponer un algoritmo para la clasificación automática de
textos, como una alternativa a los tradicionalmente utilizados en esta tarea. El clasificador …

The enormous amount of information stored in unstructured texts cannot simply be used for
further processing by computers, which typically handle text as simple sequences of …

Due to the rapid growth of the Internet, large amounts of unlabelled textual data are
producing daily. Clearly, finding the subject of a text document is a primary source of …

Several Event Detection (ED) applications utilize various wrapper Feature Selection (FS)
techniques based on wrapping the Markov Clustering Algorithm (MCL) with the Binary Bat …

Grey relational analysis (GRA) is a part of the Grey system theory (GST). It is appropriate for
solving problems with complicated interrelationships between multiple factors/parameters …

With the rapid growth of information on the World Wide Web (WWW), classification of web
documents has become important for efficient information retrieval. Relevancy of information …

Being aware of important news is crucial for staying informed and making well-informed
decisions efficiently. Natural Language Processing (NLP) approaches can significantly …

초 록본 연구는 국내 주요 학술 DB 의 검색서비스에서 제공되고 있는 저자키워드
(비통제키워드) 의 재분류를 통하여 디스크립터 (통제키워드) 를 자동 할당할 수 있는 가능성을 …

In this paper, we present symbolic classifiers to classify text documents. We propose to use
cluster based symbolic representation followed by symbolic feature selection methods to …

Sentiment analysis is an important task for the automated classification of positive and
negative opinions by a machine. The approaches to this task can either be rule-based or …