| Resumen |
Automatic text summarization helps us to save time looking for
information and reading quickly big volumes of documents. The main objective of this paper is to produce a text summary extracting the parts of text which conform the summary of a document. Generally, words, n-grams, phrases or sentences are selected from the original text to make the summary. In this work, we propose to extract maximal frequent sequences of the words for generate the summaries. Maximal frequent sequences can be extracted independently of the language and have the advantage of not defining previously the length of the part to be extracted. The proposed method, the experiments and some results are presented. |
