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Since the blog service brings a wealth of information resources, blog search and classification are showing their great research value. This paper focuses on the blog classification on the personal vs. official facet. Our system adopts a two-stage strategy; in training model, lexicons are built automatically; in classification model, scoring and ranking are carried out orderly. Our experimental results...
Weblog is widely used, and the number of users is increasing rapidly. Weblog reflects every aspect of the society, such as politics, economy and culture, so the topic relevance retrieval research on Weblog becomes necessary. Because of a lot of noise in the corpus and it is usually difficult to obtain the appropriate query, the common methods sometimes fail to reach an acceptable precision. We design...
In recent years, sentiment analysis has become a hot topic in the study of natural language processing. Methods of machine learning are widely used to the sentiment analysis. This paper presents an approach for Chinese sentiment analysis at phrase-level. A LMR template is designed to tag word features, like position, orientation, part of speech (POS), and so on. Then, maximum entropy (ME) model is...
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