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A total of 6094 conodont specimens, assigned to 18 genera and 27 species, have been recovered from the uppermost Kuniutan and Miaopo formations, spanning the latest Darriwilian – early Sandbian in age, at the Jieling section, Yichang, Hubei Province. Three conodont zones have been recognized, i.e., in ascending order, the Pygodus serra Zone, the Pygodus anserinus – Yangtzeplacognathus jianyeensis Zone, and the Baltoniodus alobatus Zone. The conodont biodiversity in the Miaopo Formation shows a decreasing trend at Jieling. Multivariate statistical analysis of the conodont fauna from the Jieling section shows that the Baltoniodus and Periodon biofacies are present in the uppermost Kuniutan Formation, and the Periodon and Scabbardella biofacies can be recognized in the Miaopo Formation.

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In this paper, we propose a new method for the opinion sentence extraction and its polarity identification in sentences which contain sentimental elements. In this method, the single sentimental element and Composite Sentimental Element are calculated respectively by sentimental dictionary and sentiment-based training corpus. After that, we design a model which is to extract objective & subjective sentences and analyze the polarity of the latter. This model can be used to extract the sentimental information in the two parties of sentimental elements. Finally, we applied this model in micro-blog sentences analyzing and proved its effectiveness.

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