Abstract
At present, social media networking sites like Twitter, Flickr, Facebook, YouTube, Instagram are offering a rich assistance for disparate information. Many people are used to extracting and penetrating information in Social Media Networks (SMNs). Detecting emerging patterns from the huge number of messages and tweets around the social networking blogs is crucial for information breeding and marking trends, especially early identification of the emerging patterns can intensively promote real-time intelligent systems. However, at present, we have many methods for discovering emerging patterns which are proposed by various researchers on long range, but they are not producing effective results. In this article, we provide a wide review of different approaches for discovering emerging trends (textual, audio, and video) in SMNs proposed by various researchers in data mining techniques perspective. In this paper, we also discuss the challenges and issues involved in discovering emerging patterns in social media blogs.
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Sucharitha, Y., Vijayalata, Y., Kamakshi Prasad, V. (2019). Analysis of Early Detection of Emerging Patterns from Social Media Networks: A Data Mining Techniques Perspective. In: Wang, J., Reddy, G., Prasad, V., Reddy, V. (eds) Soft Computing and Signal Processing . Advances in Intelligent Systems and Computing, vol 900. Springer, Singapore. https://doi.org/10.1007/978-981-13-3600-3_2
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DOI: https://doi.org/10.1007/978-981-13-3600-3_2
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