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Only using the post-earthquake PolSAR imagery to interpret collapsed buildings information is a rapid and effective disaster investigation means, which is also easy and fast for implementation of the earthquake damage assessment. This work is focused on rapid building earthquake damage information detection in urban areas using a single post-earthquake PolSAR image. In this paper, the Precision Weighted...
The problem of hot bursty topic detection in user generated texts deserves great attentions with the proliferation of Internet technologies. However, traditional document clustering and probabilistic topic models that were developed for formal news articles are less effective for informal user-generated corpora. In this paper, we provide a graph-based perspective that well reflects the latent pattern...
Emotional states are part of the information that is conveyed in many forms of network reviews. This paper presents a new sentiment polarity recognition model based on linguistic structure of emotion states-fixed sentiment terms model. The proposed method uses three types of specific collocation pattern to construct the recognition algorithm based on fixed sentiment terms. These feature term sets...
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