Construction of a Multi-dimensional Vectorized Affective Lexicon

摘要：

　　Affective analysis has received growing attention from both research community and industry.However,previous works either cannot express the complex and compound states of humans feelings or rely heavily on manual intervention.In this paper,by adopting Plutchiks wheel of emotions,we propose a lowcost construction method that utilizes word embeddings and high-quality small seed-sets of affective words to generate multi-dimensional affective vector automatically.And a large-scale affective lexicon is constructed as a verification,which could map each word to a vector in the affective space.Meanwhile,the construction procedure uses little supervision or manual intervention,and could learn affective knowledge from huge amount of raw corpus automatically.Experimental results on affective classification task and contextual polarity disambiguation task demonstrate that the proposed affective lexicon outperforms other state-of-the-art affective lexicons.

关键词： Affective analysis Affective lexicon Knowledge representation

作者: Yang Wang Chong Feng Qian Liu

作者单位: Beijing Institute of Technology,Beijing,China

会议类型: 国际会议

会议名称: 2018自然语言处理与中文计算国际会议(NLPCC2018)

会议地点: 呼和浩特

会议语种:英文

页码: 319-329

在线出版日期: 2018-08-26（万方平台首次上网日期，不代表论文的发表时间）