Abstract: The paper proposed a method for extracting sentiment elements from Chinese micro-blog based on POS template library and dependency parsing.First,the sentiment elements were searched by using emotional words as the benchmark.Second,the templates were trimmed and screened by calculating the priori probability for building the POS template library,which was used for fetching the basic sentiment elements.Then,basic sentiment elements were expanded to full sentiment elements,according to a set of rules based on dependency trees.Experiments show that the precision and recall are better than the average of 19 sets of results in NLP&CC2013 evaluation.The F-measure of the results ranked 9 in strict indicator and ranked 7 in lenient indicator.That proves the effectiveness of the method.

Key words: Emotional element,POS template library,Dependency parsing