Document Summarization Based on Information Retrieval Using Query Search Ranking Method

Document Summarization Based on Information Retrieval Using Query Search Ranking Method

Автор: Surya S., Sumitra P.

Журнал: International Journal of Modern Education and Computer Science @ijmecs

Статья в выпуске: 4 vol.16, 2024 года.

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This work proposes a Query Searching Based Ranking Summarization Data Retrieval (QS-RSDR) method for document summarization based on information retrieval. QS-RSDR ranks query-based retrieval of important information, enabling the creation of a detailed report of information requirements using generated sections of sample documents. Relating Keyword Query Search Summarization (RKQSS) generates the main summary from the most relevant document in the query and then the summary from the other documents. The method resolves similarity terms related to the query using the Word Frequency (WF) method. Sentence ranking weights and sentence frequency improve the accuracy of the retrieved documents. Simulation results show improved accuracy in information retrieval. The proposed method can help address unclear and short queries and understand the nature of the required information behind the query. The paper concludes that QS-RSDR is an effective solution for document summarization based on information retrieval using the query search ranking method.

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Information Retrieval (IR), Query, Relating Keyword Query Search Summarization (RKQSS), Word Frequency (WF), Query Searching Based Ranking Summarization Data Retrieval (QS-RSDR)

Короткий адрес: https://sciup.org/15019179

IDR: 15019179   |   DOI: 10.5815/ijmecs.2024.04.05

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