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With the increasing trend of the number of the network text, the research on the sentiment classification of Web texts is becoming a hot issue. Based on the analysis and research of some existing classification methods, this paper proposes an optimization method based on the prior knowledge of the text topic. First, we pretreat the text of the corpus. Then the emotional polarity value of the text...
With the advent of the ‘big data’ era, a huge number of images are produced every day. Traditional image compression methods no longer satisfy the demand to store and transmit them. In this paper, we face this challenge and take advantage of the correlations existing between images to achieve a higher compression rate. We propose an image compression system that encodes each image by referencing its...
Photo cropping is widely used in the printing industry, photography, and cinematography. Conventional photo cropping methods suffer from three drawbacks: 1) the semantics used to describe photo aesthetics are determined by the experience of model designers and specific data sets, 2) image global configurations, an essential cue to capture photos aesthetics, are not well preserved in the cropped photo,...
The features used for speaker recognition should have more speaker individual information while attenuating the linguistic information. In order to discard the linguistic information effectively, in this paper, we employed the phoneme mean F-ratio method to investigate the different contributions of different frequency region from the point of view of Chinese phoneme, and apply it for speaker identification...
A decision tree support vector machine (SVM) classification method based on the construction of ship-radiated noise multidimension feature vector is proposed in this paper. Aimed at three kinds of ship targets (class I submarine, class II warship and class III merchant ship) radiated noise, the subband distribution feature vectors of their 1½-spectrum and 2½-spectrum, and scale-energy feature vector...
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