Automatic detection of tags for political blogs

WSA '10: Proceedings of the NAACL HLT 2010 Workshop on Computational Linguistics in a World of Social Media(2010)

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摘要
This paper describes a technique for automatically tagging political blog posts using SVM's and named entity recognition. We compare the quality of the tags detected by this approach to earlier approaches in other domains, observing effects from the political domain and benefits from NLP techniques complementary to the core SVM method.
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关键词
core SVM method,political blog post,political domain,NLP technique,earlier approach,entity recognition,automatic detection,political blogs
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