Abstract
Short message has become to one of the most important communication manners of our daily life. There may be some hot topics contained in short messages differing with the internet. In this paper, we present a method of analysis of public sentiment based on SMS (short message serves) content. The process of discovering short message public sentiment is introduced systematically. After a serial of preprocessing, obtained original data of short message are then used for text mining. We adopt the text mining technique based on the frequent pattern tree, aiming to find some hot topic information from the SMS content, to observe the public sentiment. Experiments show that this method is feasible to a certain degree.
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Wang, Z., Zhai, L., Ma, Y., Li, Y. (2013). Analysis of Public Sentiment Based on SMS Content. In: Yuan, Y., Wu, X., Lu, Y. (eds) Trustworthy Computing and Services. ISCTCS 2012. Communications in Computer and Information Science, vol 320. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35795-4_80
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DOI: https://doi.org/10.1007/978-3-642-35795-4_80
Publisher Name: Springer, Berlin, Heidelberg
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