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In the task of cross-language sentiment classification, the monolingual machine learning based approaches suffer from the shortage of available sentiment resources in target language. In order to reduce the cost of labeling the documents from a new language, many proposed approaches transfer the sentiment knowledge from resource-rich languages (e.g. English) to resource-poor languages (e.g. Chinese)...
Recently, sparse coding-based algorithms have achieved high performance on several popular scene classification benchmarks. Yet extensive efforts along this direction focus on strategies for coding and dictionary learning, few works have addressed the problem of optimal pooling regions selection. In this work, we show that the Viola-Jones algorithm, which is well-known in face detection, can be tailored...
Question classification plays a crucial important role in the question answering system. Recent research on question classification for open-domain mostly concentrates on using machine learning methods to resolve the special kind of text classification. This paper presents our research about Chinese question classification using machine learning method and gives our approach based on SVM and semantic...
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