Language and society are closely linked. Taboo words are formed in the language of people's taboos about certain thingsand behaviors in social life. The existence of taboo words has prompted a great deal of euphem...Language and society are closely linked. Taboo words are formed in the language of people's taboos about certain thingsand behaviors in social life. The existence of taboo words has prompted a great deal of euphemism. They are related to psychologi-cal basis, pragmatic function, variable rule and national characteristics. Taboo words and euphemism are related to psychology, lan-guage, alternation and nationality. Taboo words and euphemism have great influence on people's social interaction education. Ta-boo words and euphemism have important positive meanings to the development of linguistics.展开更多
Much attention has been paid to relevant feedback in intelligent computation for social computing, especially in content-based image retrieval which based on WeChat platform for the medical auxiliary. It has a good ef...Much attention has been paid to relevant feedback in intelligent computation for social computing, especially in content-based image retrieval which based on WeChat platform for the medical auxiliary. It has a good effect on reducing the semantic gap between high semantics and low semantics of images. There are many kinds of support vector machines (SVM) based relevance feedback methods in image retrieval, but all of them may encounter some problems, such as a small size of sample, an asymmetric positive sample and negative sample as well as a long feedback cycle. To deal with these problems, an improved asymmetric bagging (IAB) relevance feedback algorithm is proposed. Furthermore, we apply a new fuzzy support machine (FSVM) to cooperate with IAB. To solve the over-fitting and real-time problems, we use modified local binary patterns (MLBP) as image features. Finally, experimental results demonstrate that our method performs other methods in terms of improving retrieval precision as well as retrieval efficiency.展开更多
文摘Language and society are closely linked. Taboo words are formed in the language of people's taboos about certain thingsand behaviors in social life. The existence of taboo words has prompted a great deal of euphemism. They are related to psychologi-cal basis, pragmatic function, variable rule and national characteristics. Taboo words and euphemism are related to psychology, lan-guage, alternation and nationality. Taboo words and euphemism have great influence on people's social interaction education. Ta-boo words and euphemism have important positive meanings to the development of linguistics.
基金This work is supported by the National Natural Science Foundation of China (No. 61472161, 61133011, 61402195, 61502198, 61303132, 61202308), Science & Technology Development Project of Jilin Province (No. 20140101201JC).
文摘Much attention has been paid to relevant feedback in intelligent computation for social computing, especially in content-based image retrieval which based on WeChat platform for the medical auxiliary. It has a good effect on reducing the semantic gap between high semantics and low semantics of images. There are many kinds of support vector machines (SVM) based relevance feedback methods in image retrieval, but all of them may encounter some problems, such as a small size of sample, an asymmetric positive sample and negative sample as well as a long feedback cycle. To deal with these problems, an improved asymmetric bagging (IAB) relevance feedback algorithm is proposed. Furthermore, we apply a new fuzzy support machine (FSVM) to cooperate with IAB. To solve the over-fitting and real-time problems, we use modified local binary patterns (MLBP) as image features. Finally, experimental results demonstrate that our method performs other methods in terms of improving retrieval precision as well as retrieval efficiency.
