JOURNAL ARTICLE

Hindi Multi-document Text Summarization using Text Rank Algorithm

Aniket SuryavanshiBhavika GujareAllan MascarenhasBhanu Tekwani

Year: 2021 Journal:   International Journal of Computer Applications Vol: 174 (29)Pages: 27-29

Abstract

Summarization is a technique in which the original text is summarized by selecting only what is important from the text.In today's world with the great advancement in the field of technology, huge amount of information is available online.In order to get only the necessary information from one or more sources available online, summarization is needed.By taking into the consideration the above problem, technique for hindi text summarization is proposed.Various documents related to sports, essays, news etc. which are available online were taken input for the system.The extraction of the summarized text was done on the basis of some important features of the text.It can be further used for news summary, summaries of books, etc.

Keywords:
Automatic summarization Computer science Hindi Rank (graph theory) Information retrieval Natural language processing Artificial intelligence Multi-document summarization Algorithm Mathematics

Metrics

4
Cited By
0.42
FWCI (Field Weighted Citation Impact)
5
Refs
0.70
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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