Genetik

Abstract

Özetçe Otomatik metin özetleme üzerinde uzun süredir özetleme eliyle amak zordur ve cümle veya tür özetleri geçirildikten sonra söz girdi olarak verilmektedir. Genetik Algoritma temelli cümle seçimi, özet yapmak için ku uygunluk fonksiyonu ilk m kelime çifti veri setini tf-idf taba

t Automatic text summarization is one of the applications of natural language processing that has been studied for a long time. The increase in the amount of information in web resources has increased the need for automatic text summarization methods. It is difficult to design a system to produce abstracts created by human hands. For this reason, many researchers have focused on extracting sentences or paragraphs, which is a kind of summary. In this study, we introduce a method that was created using genetic algorithms to generate such summaries. After the texts are preprocessed, vocabulary is created and given as input to the proposed method. The sentence selection based on Genetic Algorithm is used to summarize and after that the summary is created, it is evaluated using the fitness function. In our first model, the fitness function is based on the frequency of each Word and the word pair frequencies. The results of the applied model are discussed using the same dataset in another method based on tf-idf, with precision, recall, f-score and Rouge metrics. Keywords Natural Language Pro