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Recurrent Neural Networks (RNNs) are naturally applicable to sequential processing and have achieved outstanding performance in analyzing natural language. However, RNN-based sequence labeling methods may encounter some problems, such as word ambiguous and low-fidelity of word segmentation, in sentiment parsing of Chinese microblogging texts because it cannot well grasp local contextual information...
Sentiment analysis, also known as opinion mining, seeks to figure out points of view from documents. Sentiment classification is a specific task of sentiment analysis that divides documents into positive and negative sentiment polarities according to the attitudes expressed. Feature extraction is a significant part of sentiment classification. Traditional feature extraction methods mine statistical...
Social networks have become one of the most popular platforms for users to interact with each other. Given the huge amount of sensitive data available in social network platforms, user privacy protection on social networks has become one of the most urgent research issues. As a traditional information stealing technique, phishing attacks still work in their way to cause a lot of privacy violation...
Person re-identification (ReID) is a popular topic of research. Almost all existing ReID approaches employ local and global body features (e.g., clothing color and pattern, body symmetry, etc.). These ‘body ReID’ methods implicitly assume that facial resolution is too low to aid in the ReID process. We assert that faces, even when captured in low resolution environments, may contain unique and stable...
Human listeners are capable of segregating and recognizing the class of signal better than machine recognizer in complex noisy conditions. In this paper, we proposed a novel approach for underwater target recognition applying auditory slow feature analysis (ASFA) based on gammatone (GT) filter and slow feature analysis. Our experimental evaluations show that the ASFA feature was proved to be considerably...
Named entity relations are a foundation of semantic networks, ontology and the semantic Web, and are widely used in information retrieval and machine translation, as well as automatic question and answering systems. Relation feature selection and extraction are two key issues. The location features possess excellent computability and operability, and the semantic features have strong intelligibility...
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