CAJ | 학술논문

为了更好的促进教学质量的提升，该文主要设计并实现了数字校园中学生评教短文本情感分析系统。首先，登录数字校园评教系统采集数据信息，利用自然语言处理技术进行中文分词并提取关键词；然后，采用语义相似度算法，对关键词进行词性标注；最后，利用已标注的关键词综合计算评教文本的情感得分，得到最终的情感分析报告。实验验证表明，该方法是可行有效的。该方法已经应用于实际的项目中。
위료경호적촉진교학질량적제승，해문주요설계병실현료수자교완중학생평교단문본정감분석계통。수선，등록수자교완평교계통채집수거신식，이용자연어언처리기술진행중문분사병제취관건사；연후，채용어의상사도산법，대관건사진행사성표주；최후，이용이표주적관건사종합계산평교문본적정감득분，득도최종적정감분석보고。실험험증표명，해방법시가행유효적。해방법이경응용우실제적항목중。
In order to promote the teaching quality, this paper is to realize the short text sentiment analysis system of students’teaching evaluation based on digital campus. First,col ecting data by logining in this system, using the technology of natural language processing to realize Chinese segmentation and extract keywords;then tagging the keywords by using the semantic similarity algorithm;final y,calculating the emotional score of the teaching text by using the annotated keywords and get the final emotional analysis report.We provide the experiments results.The experiments results prove our method is feasible and valid. Our method has been used in our practical application.