Mining Chinese comparative sentences and relations based on CRF algorithm
Quansheng Liu · Jisuanji yingyong yanjiu · 2010
Comparative sentences are a common kind of expression to indicate the relations of different objects. They are valuable for text mining, especially for opinion mining. It is a novel research to identify Chinese comparative sentences and extract comparative relations. To identify Chinese comparative sentences, this paper took SVM as classifier and regarded keywords and class sequential rule as feature based on the previous research, and then used CRF algorithm to identify entity and also took the entity’s information as feature. Finally, remarkably improve the precision, recall and F-measure for identifying comparative sentences and got the result up to 96.55%, 88.63% and 92.43% respectively. To mine comparative relations, extracted comparative subject and objected by defining some rules together with the result of CRF algorithm for identifying entity, and obtained good result. And the result to extract comparative subject is better than comparative object.