Identifying Semantic Orientation in Microblog Content Using Word2vec
We propose a new technical approach to identify semantic orientation using word2vec.The key idea is to use word2vec to detect new sentiment words from microblog content, which has been enriching the original dictionary.Using COAE2013 data as a control group, we demonstrate that our enhanced word dictionaries can perform much better and they can be used in various ways.
semantics microblog word2vec technology text processing
PENG Yue CHEN Fen
School of Economics and Management, Nanjing University of Science &Technology, Nanjing 210094, China
国际会议
第一届信息获取与知识服务国际会议暨第六届搜索行为与用户认知研讨会
武汉
英文
111-115
2014-10-10(万方平台首次上网日期,不代表论文的发表时间)