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Although sentiment analysis on traditional online texts has been studied in depth, sentiment analysis for social media texts is still a challenging research direction. In the social media that contains a huge amount of texts and a large range of topics, it would be very difficult to manually collect enough labeled data to train a sentiment classifier for different domains. Distant supervision that...
Network intrusion detection system needs to handle huge data selected from network environments which usually contain lots of irrelevant or redundant features. It makes intrusion detection with high resource consumption, as well as results in poor performance of real-time processing and intrusion detection rate. Without loss of generality, feature selection can effectively improve the classification...
This paper presents a new approach that uses linguistic knowledge and pronunciation space for automatic detection of typical phone-level errors made by non-native speakers of mandarin. Firstly, linguistic knowledge of common learner mistakes is embedded in the calculation of log-posterior probability and the revised log-posterior probability (RLPP) is regarded as the measure of mispronunciation; secondly,...
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