شماره ركورد كنفرانس :
4230
عنوان مقاله :
A Survey on Web News Retrieval and Mining
پديدآورندگان :
Hassanian-esfahani Roya r.hassanian@ictrc.ir Research Institute for ICT, ACECR,Tehran, Iran; , Kargar Mohammad Javad kargar@usc.ac.ir Department of Computer Engineering,University of Science and Culture,Tehran, Iran;
كليدواژه :
web news mining , news retrieval , knowledge discovery , online news , web mining , data mining
عنوان كنفرانس :
كنفرانس بين المللي وب پژوهي
چكيده فارسي :
This article is a review on news retrieval and mining research areas in recent years based on a qualitative approach. It addresses news retrieval and mining in four main categories of News Retrieval and Extraction, News Content Analysis, News Propagation Analysis, and News Visualization. Each indicated category entails various research areas that have been investigated through several studies. This study depicts the immense extent of news retrieval and mining, the interconnected methods, tools, and theoretical foundations as well as the evaluation methods and the results. The study helps to gain a better understanding of news mining research areas.