Arabic News Article Summarization

Ayoub, Souleiman; Freeman, Julia

Arabic News Article Summarization

dc.contributor.author	Ayoub, Souleiman	en
dc.contributor.author	Freeman, Julia	en
dc.date.accessioned	2015-05-15T04:06:02Z	en
dc.date.available	2015-05-15T04:06:02Z	en
dc.date.issued	2015-05-14	en
dc.description.abstract	This project involves taking Arabic PDF news articles to produce results from our new program that indexes, categorizes, and summarizes them. We fill out a template to summarize news articles with predetermined attributes. These values will be extracted using a named entity recognizer (NER) which will recognize organizations and people, topic generation using an LDA algorithm, and direct information extraction from news articles’ authors and dates. We use Fusion LucidWorks (a Solr based system) to help with the indexing of our data and provide an interface for the user to search and browse the articles with their summaries. Solr is used for information retrieval. The final program should enable end users to sift through news articles quickly.	en
dc.description.sponsorship	Tarek Kanan as client	en
dc.description.sponsorship	NPRP grant # 4-029-1-007	en
dc.identifier.uri	http://hdl.handle.net/10919/52339	en
dc.language.iso	en_US	en
dc.rights	Creative Commons Attribution-NonCommercial 3.0 United States	en
dc.rights.uri	http://creativecommons.org/licenses/by-nc/3.0/us/	en
dc.subject	Arabic	en
dc.subject	Fusion	en
dc.subject	Solr	en
dc.subject	Classification	en
dc.subject	Newspaper articles	en
dc.subject	Named Entity Recognizer	en
dc.subject	LDA	en
dc.title	Arabic News Article Summarization	en
dc.type	Presentation	en
dc.type	Software	en
dc.type	Technical report	en