The Constitution of a Fine-Grained Opinion Annotated Corpus on Weibo
(0) Sentiment analysis on social media represented by Weibo is one of the hotspot research problems in NLP.A comprehensive and systematic fine-grained annotated corpus plays a significance role.In this paper,considering the characteristics of Weibo,we focus on the constitution of a fine-grained,hierarchical opinion annotated corpus and design a set of labelling specification.We manually annotate the opinion sentences with a part of ones containing hidden opinion which can be useful for implicit sentiment analysis.Then a fine-grained aspect extraction,namely opinion triples like <object,attribute,polarity> is finished for aspect-level sentiment research.Moreover,we establish an evaluation method for the task of fine-grained aspect extraction which has been applied in evaluation for years.The corpus was used in the task of COAE2015,and it will be a useful resource for the related research on social media sentiment analysis.
weibo corpus fine-grained opinion annotation implicit opinion annotation evaluation
Liao Jian Li Yang Wang Suge
School of Computer & Information Technology,Shanxi University,Taiyuan,030006,China School of Computer & Information Technology,Shanxi University,Taiyuan,030006,China;Key Laboratory of
国内会议
第十五届全国计算语言学学术会议(CCL2016)暨第四届基于自然标注大数据的自然语言处理国际学术研讨会(NLP-NABD-2016)
烟台
英文
1-13
2016-10-14（万方平台首次上网日期，不代表论文的发表时间）