Arabic news: topic and novelty detection

Authors:
Mohammed Al-Kabi;Niveen Z. Halalsheh;Muhammad Dabour;Heider A. Wahsheh
Affiliations:
Yarmouk University, Irbid, Jordan;Yarmouk University, Irbid, Jordan;Yarmouk University, Irbid, Jordan;Yarmouk University, Irbid, Jordan
Venue:
Proceedings of the 3rd International Conference on Information and Communication Systems
Year:
2012

Citing 7
Cited 0

Novelty and redundancy detection in adaptive filtering

SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Introduction to topic detection and tracking

Topic detection and tracking
Language-specific models in multilingual topic tracking

Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Improving novelty detection for general topics using sentence level information patterns

CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
An information-pattern-based approach to novelty detection

Information Processing and Management: an International Journal
Topic tracking based on keywords dependency profile

AIRS'08 Proceedings of the 4th Asia information retrieval conference on Information retrieval technology
Study and Comparison of Different Vocabulary Selection Methods: Application to Topic Detection of Arabic Documents

ICCIS '10 Proceedings of the 2010 International Conference on Computational and Information Sciences

Quantified Score

Hi-index	0.00

Visualization

Abstract

Large number of Internet users in the Arab World uses the Internet as their main source of information. There are many news publishers and agencies that compete to gain the largest percentage of Arab visitors to their Web sites. Also these agencies received a continuous stream of news articles each day, and therefore there is a need for an automated system to identify new news items to inform the employee in these agencies about it, while this system has to neglect old news articles. This study demonstrates a novelty detection system, which used to identify the topic of each Arabic news item, besides identifying the novelty of each Arabic news item.