Análise de técnicas de sumarização automática de texto superficiais e profundas.

Abstract

Automatic summarization of texts is the field of information retrieval area, based on textual documents, character, collection and production of relevant phrases. Thus, in a series of activities of searching for relevant data, a scenario of generation of summaries, which, in this scenario, are summaries of texts. There are several techniques for automatic summarization, comprising a linguistic science and the statistical domain. In this article, we discuss the positive and negative aspects of two subgroups of automatic text summarization techniques, such as those that use superficial approaches and those that use a deep approach. A historical study is presented on the main studies in the area of summarization and the functioning of the process of automatic summarization of texts. The challenges and limits in the automatic summarization process are highlighted. In terms of the results in the research, was observed that there is a technique of summarization, since each has a set of benefits and disadvantages. In view of the above, it was verified the intention to intensify the studies in the area of automatic summarization of texts.