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مقالات فارسیISIکنفرانسهاژورنالها

A Survey on Web News Retrieval and Mining

محل انتشار: دومین کنفرانس بین المللی وب پژوهی
سال انتشار: 1395
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 1,145

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لینک ثابت به این مقاله:
https://civilica.com/doc/481706

شناسه ملی سند علمی:

IRANWEB02_062

تاریخ نمایه سازی: 9 مرداد 1395

چکیده مقاله:

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.

کلیدواژه ها:

web news mining ، news retrieval ، knowledge discovery ، online news ، web mining ، data mining

نویسندگان

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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