CAJ | 학술논문

微博的兴起与传播使得短文本情感分类成为目前的热门研究领域。通过对中文微博语料的情感倾向性分析进行研究，提出了一种新的情感分类方法。首先构建了两级情感词典，并对不同级别情感词作不同增强；然后在情感特征方面使用N-Gram方法，尽量获取有限长度博文中的未登录情感词和情感信息。经实验验证与传统方式相比较，该方法的准确率和召回率都有所提高，在COAE2014微博情感倾向性评测任务中也取得了较好的成绩。
미박적흥기여전파사득단문본정감분류성위목전적열문연구영역。통과대중문미박어료적정감경향성분석진행연구，제출료일충신적정감분류방법。수선구건료량급정감사전，병대불동급별정감사작불동증강；연후재정감특정방면사용N-Gram방법，진량획취유한장도박문중적미등록정감사화정감신식。경실험험증여전통방식상비교，해방법적준학솔화소회솔도유소제고，재COAE2014미박정감경향성평측임무중야취득료교호적성적。
The rise and spread of Micro-blog make sentiment classification on short texts become a hot area.A new method was proposed for Micro-blog sentiment classification.First of all,this method will create an emotional dictiona-ry with two-levels,and the words for different levels will get different enhancement;then in order to get features, N-gram method was used,which found new emotional words and emotional information from a short text.The experi-ment results show this approach has improved precision and recall rate compared to the traditional ways.This algorithm also did a very good job in COAE 2014.