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Authors: DOINA TĂTAR, MIHAIELA LUPEA, ZSUZSANNA MARIAN.
This paper presents two original methods for text summariza- tion (by extraction) of a single source document. The first method fulfills the two desiderata of summaries on the base of Formal Concept Analysis (FCA): 1.the relevance of a selected sentence is given by the introduction of the weight for a FCA concept, and 2. the minimal similarity to sen- tences previously selected is assured by a different coverage in the Concept Lattice. The second method realizes summarization by clustering the sen- tences. The new measure of similarity, com, has the roots also in FCA and provides the results close to the classical cosine measure.At least to our knowledge, there are no previous attempts to solve the summarization of a text by FCA.
Key words and phrases. text summarization, formal concept analysis.
