随着web文本的情感分析越来越受到青睐,各相关领域的领域都展开了个性化的应用探索。然而,在金融证券域目前确实相对的欠缺,甚至是空白。尤其是金融证券正在蓬勃发展的时代,基于语素的金融证券域文本情感探测尤为必要,通过对于分析、综合各方面的信息,进而给各方面主体提供参考。 As the web text emotional analysis more and more favored, all related fields have launched a personalized application of exploration. However, the current relative lack of financial securities in the field, or even blank. Especially in the era of flourishing financial securities, morpheme-based textual sentiment detection in financial and securities fields is particularly necessary. By analyzing and synthesizing various aspects of information, it provides references for all parties.