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Currently, the data that dealt by traditional text clustering methods is small. Text representation model that text clustering used is traditional vector space model (VSM). The traditional text clustering has defect of low efficiency when processing big data. The quality is bad when using traditional VSM model for text representation. To solve these two problems, this paper puts forward a VSM model...
Big Data has become commonplace in most Internet-based applications, which by delivering services to planetary scale numbers of users generate very large data sets. Such data sets are considered as a valuable source of analytics information and knowledge for many purposes and domains. It is claimed each time more that Big Data and machine learning, especially data mining, are the basis for developing...
The subliminal impact of framing of social, political and environmental issues such as climate change has been studied for long time in political science and communications research. Media framing offers "interpretative package" for average citizens on how to make sense of climate change and its consequences to their livelihoods, how to deal with its negative impacts, and which mitigation...
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