text summarization; manual summarization; compression ratio; main summary; coherent gap; precision
Abstract
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 meaningâ€. 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.
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IJRTI — journal style
"Automatic Text Summarization Using Local Scoring and Ranking", IJRTI - International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.4, Issue 5, page no.131 - 135, May-2019, Available :https://ijrti.org/papers/IJRTI1905031.pdf
APA — 7th edition
Kumar, D., Bhalekar, S., Disle, H., Gorule, S., & Gotarane, K. (2019). Automatic Text Summarization Using Local Scoring and Ranking. International Journal for Research Trends and Innovation, 4(5), 131 - 135. https://ijrti.org/viewpaperforall.php?paper=IJRTI1905031
MLA — 9th edition
Kumar, Diksha, et al. "Automatic Text Summarization Using Local Scoring and Ranking." International Journal for Research Trends and Innovation, vol. 4, no. 5, 2019, pp. 131 - 135, https://ijrti.org/viewpaperforall.php?paper=IJRTI1905031.
Chicago — 17th, bibliography
Kumar, Diksha, et al. "Automatic Text Summarization Using Local Scoring and Ranking." International Journal for Research Trends and Innovation 4, no. 5 (2019): 131 - 135. https://ijrti.org/viewpaperforall.php?paper=IJRTI1905031.
Harvard — author–date
Kumar, D. et al. (2019) 'Automatic Text Summarization Using Local Scoring and Ranking', International Journal for Research Trends and Innovation, 4(5), pp. 131 - 135. Available at: https://ijrti.org/viewpaperforall.php?paper=IJRTI1905031
IEEE — numbered reference
D. Kumar, S. Bhalekar, H. Disle, S. Gorule and K. Gotarane, "Automatic Text Summarization Using Local Scoring and Ranking," IJRTI, vol. 4, no. 5, pp. 131 - 135, May. 2019.
Vancouver — biomedical
Kumar D, Bhalekar S, Disle H, Gorule S, Gotarane K. Automatic Text Summarization Using Local Scoring and Ranking. IJRTI. 2019 May;4(5):131 - 135.
AMA — 11th edition
Kumar D, Bhalekar S, Disle H, Gorule S, Gotarane K. Automatic Text Summarization Using Local Scoring and Ranking. IJRTI. 2019;4(5):131 - 135. Accessed at https://ijrti.org/viewpaperforall.php?paper=IJRTI1905031
BibTeX — Zotero, Mendeley, LaTeX
@article{IJRTI1905031,
author = {Diksha Kumar and Sumeet Bhalekar and Hari Disle and Sameer Gorule and Ketan Gotarane},
title = {Automatic Text Summarization Using Local Scoring and Ranking},
journal = {International Journal for Research Trends and Innovation},
volume = {4},
number = {5},
pages = {131 - 135},
year = {2019},
month = {May},
issn = {2456-3315},
url = {https://ijrti.org/viewpaperforall.php?paper=IJRTI1905031}
}
RIS — EndNote, RefWorks
TY - JOUR
AU - Kumar, Diksha
AU - Bhalekar, Sumeet
AU - Disle, Hari
AU - Gorule, Sameer
AU - Gotarane, Ketan
TI - Automatic Text Summarization Using Local Scoring and Ranking
T2 - International Journal for Research Trends and Innovation
JA - IJRTI
VL - 4
IS - 5
PY - 2019
SN - 2456-3315
UR - https://ijrti.org/viewpaperforall.php?paper=IJRTI1905031
SP - 131
EP - 135
ER -
International Journal for Research Trends and InnovationPublished by IJRTI (JW Publication)
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Declarations
Funding
No external funding was received for this study.
Conflict of Interest
The authors declare that they have no conflict of interest.
Acknowledgements
The authors would like to thank the reviewers and the editorial board of International Journal for Research Trends and Innovation for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.