Abstract: News Aggregator is simply an online software which collects new stories and events around the world from various sources all in one place. News aggregator plays a very important role in reducing time consumption, as all of the news that would be explored through more than one website will be placed only in a single location. Also, summarizing this aggregated content absolutely will save reader’s time. A proposed technique used called the TextRank algorithm that showed promising results for summarization. This paper presents the main goal of this project which is developing a news aggregator able to aggregate relevant articles of a certain input keyword or key-phrase. Summarizing the relevant articles after enhancing the text to give the reader understandable and efficient summary.

Alaa Mohamed, Marwan Ibrahim, Mayar Yasser, Mohamed Ayman, Menna Gamil and Walaa Hassan, “News Aggregator and Efficient Summarization System” International Journal of Advanced Computer Science and Applications(IJACSA), 11(6), 2020. http://dx.doi.org/10.14569/IJACSA.2020.0110677

@article{Mohamed2020,
title = {News Aggregator and Efficient Summarization System},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2020.0110677},
url = {http://dx.doi.org/10.14569/IJACSA.2020.0110677},
year = {2020},
publisher = {The Science and Information Organization},
volume = {11},
number = {6},
author = {Alaa Mohamed and Marwan Ibrahim and Mayar Yasser and Mohamed Ayman and Menna Gamil and Walaa Hassan}
}