Query-Focused Multi-Documents Summarization Using Genetic Algorithm

Abstract

For the explosion of information in the World Wide Web, this paper proposed a new method of query-focused multi-documents summarization using genetic algorithm, search engine are used to extract relevant documents, genetic algorithm is used to extract the sentences to form a summary, and it is based on a fitness function formed by three factors: query-focused feature, importance feature, and non-redundancy feature. Experimental result shows that the proposed summarization method can improve the performance of summary, genetic algorithm is efficient.