ISCAS at Multilingual Opinion Analysis Task
نویسندگان
چکیده
The paper presents our work in the multilingual opinion analysis task in NTCIR7 in Simplified Chinese. In detecting opinionated sentences, an EM algorithm was proposed to extract the sentiment words based on the sentimental dictionary, and then an iterative algorithm was used to estimate the score of the sentiment words and the sentences. In detecting relevant sentences, we solve this problem by analogizing the task to the traditional information retrieval task. The difficulty lies in that some sentence is relevant to the topic even if there are no key words hit in it. In this situation, we use a pseudo feedback and query extension method to refine the result. The evaluation results and the result analysis will also be presented.
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