SALVINO, L. A.; http://lattes.cnpq.br/9909605324865882; SALVINO, Lucas André.
Resumen:
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.
