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International Conference on Mechanical and Electrical Technology, 3rd, (ICMET-China 2011), Volumes 1–3

Yi Xie
Yi Xie
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ASME Press
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The explosion of network information resources brings more difficulty for the grasp of information. To effectively control massive data and extract hot information, we designed hotspot-finding Algorithm about public opinion on network. The algorithm classifies the various categories by using the method of calculating their similarity of Centro, then detects hotspot from every category through the Centro comparison strategy and finally lists all the hotspots in every category according to the attentions they get. This provides an effective analysis for people to grasp public opinions on network.

Key Words
1 Introduction
2. Hotspot-Finding Algorithm Designing
3. Vector Space Model
4. Feature Extraction and Dimensionality Reduction
5. Classifying of the Hotspot Category and Founding of the Hotspots
6. Summaries
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