A lexical sentiment membership based feature representation was presented for Chinese polarity classification under the framework of fuzzy set theory. TF-IDF weighted words are used to construct the corresponding positive and negative polarity membership for each feature word, and the log-ratio of each membership is computed. A support vector machines based polarity classifier is built with the membership logratios as its features. Furthermore, the classifier is evaluated over different datasets, including a corpus of reviews on automobile products, the NLPCC2014 data for sentiment classification evaluation and the IMDB film comments. The experimental results show that the proposed sentiment membership feature representation outperforms the state of the art feature representations such as the Boolean features, the frequent-based features and the word embeddings based features.

The Yushu Batang Fault, which controls the development of Quaternary Batang Basin, Boluo tan Basin and Dangyong tan Basin along it, is a major branch fault of the Yushu segment within Ganzi-Yushu Fault system. Based on morphotectonic mapping, interpretation of remote sensing images, fault profile analysis, optically stimulated luminescence (OSL) and radiocarbon (14C) dating, it is found that a series of fluvial terraces and alluvial fans are systematically offset by the Yushu Batang Fault and this fault is a Holocene left-lateral strike-slip fault along with some reverse component. The time of the latest activity of this fault is after 2.72 ka. Average left-lateral slip rate of this fault is about 2.3?3.7 mm/a and vertical slip rate is about 0.2?0.6 mm/a since Late Pleistocene. The Yushu Batang Fault plays an important role in accommodating strike slip deformation in Yushu segment and partitioned about a third of the strike slip deformation within Yushu segment. This study provides insight into the reasons of why the slip rate of Yushu fault is relatively low compared with other segments within Ganzi-Yushu Fault system and these results are essential to the seismic hazard assessment in Yushu area.