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Existence of large amount of textual information available on the internet emerged serious research in the area of machine generated summarization. Manual summarization of these online text documents is a very difficult task for human beings. So we need an automatic text summarizer. Automatic Text Summarization (ATS) is “condensing the source text into a shorter version, while preserving its information content and overall meaning”. Even though the work of automatic text summarization started in 1950’s, still it is lacking to achieve more coherent and meaningful summaries. The proposed approach provides automatic feature based extractive text summarizer to improve the coherence thereby improving the understandability of the summary text. It summarizes the given input document using local scoring and local ranking that is it provides summary. The proposed approach applies the features to all document sentences. But it ranks the sentences and selects top n sentences from each paragraph where n depends upon compression ratio. The final summary produced by this approach is a collection of summary of individual paragraph/heading. Since the summary contains the equal proportion of sentences from each heading, it reduces the coherent gap of the summary text. Also it improves the overall meaning and understanding of the summary text.
Keywords:
text summarization; manual summarization; compression ratio; main summary; coherent gap; precision
Cite Article:
"Automatic Text Summarization Using Local Scoring and Ranking", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.4, Issue 5, page no.131 - 135, May-2019, Available :http://www.ijrti.org/papers/IJRTI1905031.pdf
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000205072
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator