CAJ | 학술논문

情感词库在文本情感分析中发挥重要作用，但在分析细粒度情感如人类情绪状态时却无法正确区分。针对该问题，提出一种基于义原相似度计算的细粒度情感词库构建方法。对词语之间的义原相似度进行计算分析，构建7类细粒度情感词库，并在此基础上给出细粒度情感词在词库中的权重计算方法，最终得到7类具有权重值的细粒度情感词库。实验结果表明，应用引入权重的细粒度情感词库后，文本情感倾向判别的准确率可提升5%左右。
정감사고재문본정감분석중발휘중요작용，단재분석세립도정감여인류정서상태시각무법정학구분。침대해문제，제출일충기우의원상사도계산적세립도정감사고구건방법。대사어지간적의원상사도진행계산분석，구건7류세립도정감사고，병재차기출상급출세립도정감사재사고중적권중계산방법，최종득도7류구유권중치적세립도정감사고。실험결과표명，응용인입권중적세립도정감사고후，문본정감경향판별적준학솔가제승5%좌우。
Emotion thesaurus plays an important role in the text sentiment analysis,but it is particularly inadequate in the analysis of fine-grained emotions such as human emotions. To solve this problem,this paper presents a fine-grained emotion thesaurus construction method via the calculation of sememe similarity, and finishes the construction of seven sorts of thesaurus. Based on this work, this paper researches on the calculation method of the weight of fine-grained emotion words, and proposes a new weight calculation method of emotion words. Finally, this paper finishes the construction of seven sorts of thesaurus with weight value. Experimental results show that the introduction of the fine-grained emotion thesaurus with weights can make the accuracy rate of the text emotional tendencies increased by about 5% .