A Survey on Web News Retrieval and Mining
Publish place: The Second International Conference on Web research
Publish Year: 1395
Type: Conference paper
Language: English
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IRANWEB02_062
Index date: 30 July 2016
A Survey on Web News Retrieval and Mining abstract
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.
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A Survey on Web News Retrieval and Mining authors
Roya Hassanian esfahani
Research Institute for ICT, ACECR Tehran, Iran
Mohammadjavad Kargar
Department of Computer Engineering University of Science and CultureTehran, Iran
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