JOURNAL ARTICLE

Query-focused Summarization Based on Genetic Algorithm

Abstract

This paper proposed a new method of query-focused multi-documents summarization based on genetic algorithm, genetic algorithm is used to extract the sentences to form a summary, and it is based on a fitness function formed by three factors. Experimental result shows that the proposed summarization method can improve the performance of summary, genetic algorithm is efficient.

Keywords:
Automatic summarization Computer science Genetic algorithm Fitness function Multi-document summarization Algorithm Data mining Artificial intelligence Machine learning

Metrics

10
Cited By
0.00
FWCI (Field Weighted Citation Impact)
8
Refs
0.10
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Topic Modeling
Physical Sciences →  Computer Science →  Artificial Intelligence
Advanced Text Analysis Techniques
Physical Sciences →  Computer Science →  Artificial Intelligence
Natural Language Processing Techniques
Physical Sciences →  Computer Science →  Artificial Intelligence

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