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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM34832

Automatic News Summarization using Web Scraping

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM34832

Volume:

8 |

5 |

May 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/ijsrem34832

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

AU

Ashwinee Upadhye

ST

Sakshi Tisgaonkar

MG

Manas Gokavi

MHYN

Mrs. Hemalata Y. Nawale

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Abstract

In an era of information overload, accessing relevant news content efficiently is crucial. However, language barriers often hinder users from accessing news articles in languages they understand. To address this challenge, we propose an automatic news summarization and translation system. This system aggregates news articles from multiple URLs, summarizes them into concise summaries, and translates the summaries into the user’s preferred language. By leveraging web scraping, natural language processing, and translation integration techniques, our system aims to provide users with access to relevant news content in their preferred language, thereby overcoming language barriers and fostering global connectivity.

KEYWORDS

automatic news summarization translation integration web scraping natural language processing language barriers information accessibility global connectivity user preferences multilingual content web-based news aggregation

Cite This Article

Ashwinee Upadhye, Sakshi Tisgaonkar, Manas Gokavi, Mrs. Hemalata Y. Nawale, "Automatic News Summarization using Web Scraping," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 5, May 2024. https://doi.org/10.55041/ijsrem34832

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Publication Date

5/27/2024

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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