Opinion Analysis Task of Simplified Chinese Monolingual at NTCIR-8

― 265 ― Opinion Analysis Task of Simplified Chinese Monolingual at NTCIR-8 Yuan Kuang Bo Zhang Wenbin Pan Yujie Zhang Bin Zhang Rongjun Li Yu Mao Yanquan Zhou Research Center of Intelligence Science and Technology of Beijing University of Posts and Telecommunications, Beijing, 100876, China [email protected] Abstract In this paper, we present our work for Simplified Chinese Monolingual opinion analysis task at NTCIR-8 by BUPT. We participated in four of all tasks except opinion target detection and answerness judgment, and submitted two runs for each task. For opinion sentence detection, we propose some features both semantic-level and grammar-level, and also summarizes some syntactic structure templates to achieve a more satisfactory classification results based on TSVM. For opinion holder detection, we firstly use CRF including six corresponding features to detect, then we propose two syntactic rules based on opinionated trigger words from syntax trees taken as additional features for the CRF to train our model. By introducing Statistical Language Models with expansion of topic words we train a relevance judgment model. To judge polarity, we compute the value of the text by our algorithm with a large-scale emotional dictionary, and set a threshold, to classify the sentiment polarity of sentence in each text.