The Identification of the Top Agro Food Keywords in The Star Online Newspaper
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https://doi.org/10.14419/ijet.v7i3.20.28406 -
Agro, text mining, online news, news mining, RAKE algorithm -
Abstract
News websites produce thousands of articles and the number is growing. To publish up to date breaking news, each news providers apply different styles of journalism and as consequent readers may find different words and concepts used although when reporting a similar event. In this study, we examined the Malaysian online newspaper in order to seek the most regular keywords used in daily online news. To achieve that, the Star Online newspaper was chosen and the news related to Malaysian Agro food industries was selected for mining. During the mining, 173 news articles were scrapped from the website within the time frame of 2008-2017 and the keyword were mine using RAKE algorithm. From the analysis, 51 frequently used agro food related keywords has been identified and fish is the top keyword used in The Star Online. The other popular keywords found were palm oil, rice, fruits, livestock, vegetables, chicken, and crops. It is also noticed that different terms were used to describe similar concept. The indentified keywords can be used to form future agro inventory. In future work, the other Malaysian Online newspaper such as The New Strait Time and The Sun will be further explored and comparison of the top agro food keyword will be made among them.
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References
[1] A. Taylor, The People's Platform: Taking Back Power and Culture in the Digital Age: Random House Canada, 2014.
[2] T. Harcup and D. O'Neill, "What is news?," Journalism Studies, vol. 1, pp. 1-19, 2016.
[3] Weaver, David, R. Beam, P. V. Bonnie Brownlee, and G. C. Wilhoit, The American Journalist in the 21st Century. Mahwah, NJ:: Lawrence Erlbaum Associates, 2007.
[4] Shakeel PM. Neural Networks Based Prediction Of Wind Energy Using Pitch Angle Control. International Journal of Innovations in Scientific and Engineering Research (IJISER). 2014;1(1):33-7.
[5] P. Mohamed Shakeel; Tarek E. El. Tobely; Haytham Al-Feel; Gunasekaran Manogaran; S. Baskar., “Neural Network Based Brain Tumor Detection Using Wireless Infrared Imaging Sensorâ€, IEEE Access, 2019, Page(s): 1
[6] X. Tang, C. Yang, and J. Zhou, "Stock Price Forecasting by Combining News Mining and Time Series Analysis," in International Joint Conferences onWeb Intelligence and Intelligent Agent Technologies (WI-IAT '09), Milan, Italy, 2009, pp. 1-5.
[7] S. S. Abdullah, M. S. Rahaman, and M. S. Rahman, ""Analysis of stock market using text mining and natural language processing"," presented at the International Conference on Informatics Electronics & Vision (ICIEV) 2013.
[8] Sridhar KP, Baskar S, Shakeel PM, Dhulipala VS., “Developing brain abnormality recognize system using multi-objective pattern producing neural networkâ€, Journal of Ambient Intelligence and Humanized Computing, 2018:1-9. https://doi.org/10.1007/s12652-018-1058-y
[8] G. P. C. F. J. X. Y. W. Lam, "Stock prediction: Integrating text mining approach using real-time news," in IEEE International Conference on Computational Intelligence for Financial Engineering, Hong Kong, 2003, pp. 1-6.
[9] Selvakumar S, Inbarani H, Shakeel PM. A Hybrid Personalized Tag Recommendations for Social E-Learning System. International Journal of Control Theory and Applications. 2016;9(2):1187-99.
[10] Z. Ma, G. Pant, and O. R. L. Sheng, "Mining competitor relationships from online news: A network-based approach," Electronic Commerce Research and Applications, vol. 10, pp. 418-427, 2011/07/01/ 2011.
[11] P. Kroha, R. Baeza-Yates, and B. Krellner, "Text Mining of Business News for Forecasting," in International Workshop onDatabase and Expert Systems Applications (DEXA '06) Krakow, Poland, 2006, pp. 1-5.
[12] M. Tsagkias, W. Weerkamp, and M. d. Rijke, "Predicting the volume of comments on online news stories," presented at the Proceedings of the 18th ACM conference on Information and knowledge management, Hong Kong, China, 2009.
[13] D. Goodman, Ed., Agro-Food Studies in the 'Age of Ecology': Nature, Corporeality, Bio-Politics 1). USA: Blackwell Publishers, 1999, p.^pp. Pages.
[14] S. Rose, D. Engel, N. Cramer, and W. Cowley, Automatic Keyword Extraction from Individual Documents, 2010.
[15] eBizMBA. (2017, 9 October). Top 15 Most Popular News Websites (July 2017). Available: http://www.ebizmba.com/articles/news-websites
[16] J. A. Iglesias, A. Tiemblo, A. Ledezma, and A. Sanchis, "Web news mining in an evolving framework," Inf. Fusion, vol. 28, pp. 90-98, 2016.
[17] Baskar, S., & Dhulipala, V. R., “M-CRAFT-Modified Multiplier Algorithm to Reduce Overhead in Fault Tolerance Algorithm in Wireless Sensor Networksâ€, Journal of Computational and Theoretical Nanoscience,2018, 15(4), 1395-1401.
[18] J. Yoon, "Detecting weak signals for long-term business opportunities using text mining of Web news," Expert Systems with Applications, vol. 39, pp. 12543-12550, 2012/11/15/ 2012.
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How to Cite
Farhan Mohamad Mohsin, M., Sakira Kamaruddin, S., Siraj, F., Aini Hambali, H., & Ahmed. Taiye, M. (2018). The Identification of the Top Agro Food Keywords in The Star Online Newspaper. International Journal of Engineering & Technology, 7(3.20), 864-869. https://doi.org/10.14419/ijet.v7i3.20.28406Received date: 2019-03-15
Accepted date: 2019-03-15