A Context Based Text Summarization System
Rafael Fernandes de Abreu e Lima Ferreira, Frederico Freitas, Luciano Cabral, Rafael Dueire Lins, Rinaldo J. Lima, Gabriel Henrique Rocha Barreto de França, Steven J. Simske, Luciano Favaro · 2014
Text summarization is the process of creating a shorter version of one or more text documents. Automatic text summarization has become an important way of finding relevant information in large text libraries or in the Internet. Extractive text summarization techniques select entire sentences from documents according to some criteria to form a summary. Sentence scoring is the technique most used for extractive text summarization, today. Depending on the context, however, some techniques may yield better results than some others. This paper advocates the thesis that the quality of the summary obtained with combinations of sentence scoring methods depend on text subject. Such hypothesis is evaluated using three different contexts: news, blogs and articles. The results obtained show the validity of the hypothesis formulated and point at which techniques are more effective in each of those contexts studied.