JOURNAL ARTICLE

Abstractive Text Summarization Using Hybrid Technique of Summarization

Abstract

Abstractive text summarization focuses at compress the document into a shorter form while keeping the connotation intact. The extractive summary can select chunks of sentences that are very related to the document, on the other hand, an abstractive summary can generate a summary based on extracted keywords. This research proposed an abstractive text summarization model, it gets data from source data (e.g., Daily Mail/CNN) or other documents and two summaries of this are generated. one from a philologist and the other by proposed model. The summary generated by the philologist kept as a model to compare with the machine-generated summary. The proposed model increased the accuracy and the readability of the summary.

Keywords:
Automatic summarization Computer science Readability Natural language processing Philology Information retrieval Artificial intelligence Source text Text graph Multi-document summarization Connotation Linguistics Programming language

Metrics

5
Cited By
0.98
FWCI (Field Weighted Citation Impact)
13
Refs
0.74
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

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

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