Investigation of Trends and Analysis of Hidden New Patterns in Prominent News Agencies of Iran Using Data Mining and Text Mining Algorithms
Journal Title: Webology - Year 2019, Vol 16, Issue 1
Abstract
These days, every business is trying to achieve its competitive goals. In other words, if one business uses the most modern analytical technologies optimally, it will certainly boost its success level at an exponential rate. The Islamic Republic News Agency (IRNA) is one such mass media industry that, according to its need, uses the benefits information technology (IT) provides it with. News flows, surveys, human resource management, warehouse management, software are key parts of the agency’s news penetration criteria. There is little software that focuses on analytical solutions for running the business optimally. This paper, among available text mining methods, intends to present the most important keywords of news texts based on weighing of words and their correlations, news classification, news sentiments, news trends in order to provide insights and patterns for future scholars and practitioners in the field. This approach will help news agencies maintain their competitive edge as well as predict and react to the market of news search and provision in a timely context-based manner.
Authors and Affiliations
Babak Sohrabi, Iman Raeesi Vanani and Meysam Namavar
Keywords
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- EP ID EP687808
- DOI 10.14704/WEB/V16I1/a182
- Views 213
- Downloads 0
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