Newsmind: A News Aggregation And Summarization System

• React

With the development of the Internet, and lot of websites that provide the same data and information, getting this has become simpler getting to it has become simpler. So, users frequently discover it troublesome to decide which of these websites can provide the specified data within the most valuable and effective way. 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. TextRank summary was more acceptable in the survey results according to readers perspective and that’s an indication that user is more comfortable with reading the summary after applying the experiment. Also, the system fully works online so any type of aggregated articles will be on the spot and will be chosen from trusted and determined sources.