2 research outputs found
Ontology-Based Automatic Classification for News Articles in Indonesian Language
Get PDFOntology-Based Automatic Classification for News Articles in Indonesian Language. Searching specific information will be difficult if relying only on query. Choosing less specific queries will result in a lot of irrelevant information fetched by the system. One of the most successful ways to overcome this problem is to perform document classification based on the topic. There are many methods that can be used to conduct such a classification, such as using statistical and machine learning approaches. However, those document classification methods require training the data or learning the documents. In this study, the authors attempted to classify documents using a method that doesn’t require learning the documents. This classification method uses ontology to classify documents. Document classification using ontology is done by comparing the value of similarity among documents and existing node in the ontology. A document is classified into a category or a node if it has the highest similarity value in one of the nodes in the ontology. The results show that ontology can be used to perform document classification. The recall value is 97.03%, the precision is 91.63%, and the f-measure is 94.02%
PENGKLASIFIKASIAN OTOMATIS BERBASIS ONTOLOGI UNTUK ARTIKEL BERITA BERBAHASA INDONESIA
Get PDFOntology Based Automatic Classification for News Article in Indonesian Language. Searching specific informationwill be difficult if only rely on query. Choosing less specific queries will result many irrelevant information fetched bythe system. One of the most successful way to overcome this problem is to perform document classification based onthe topic. There are many methods that can be used to conduct such a document classification, such as statistical andmachine learning approaches. However, those document classification methods require training data or learningdocuments. In this study, the authors attempted to classify documents using a method that doesn’t require learningdocuments. This classification method uses ontology to classify documents. Document classification by using ontologyis done by comparing the value of similarity among documents and existing node in the ontology. A document isclassified into a category or a node, if it has the highest similarity value in one of the nodes in the ontology. The resultsshowed that the ontology can be used to perform document classification. Recall value is 97.03%, precision is 91.63%,and f-measure is 94.02%.Keyword: ontology, Naïve-Bayes, stopwords, stemmin
