Analysing the Semantic Change Based on Word Embedding

摘要：

　　This paper intend to present an approach to analyse the change of word meaning based on word embedding,which is a more general method to quantize words than before.Through analysing the similar words and clustering in dierent period,semantic change could be detected.We analysed the trend of semantic change through density clustering method called DBSCAN.Statics and data visualization is also included to make the result more clear.Some words like 'gay','mouse' are traced as case to prove this approach works.At last,we also compared the context words and similar words on semantic presentation and proved the context words worked better....

关键词： Semantic change word embedding Google books N-gram corpus word similarity

作者: Liao Xuanyi Cheng Guang

作者单位: Beijing University of Post and Telecommunication,Beijing 100876,China

会议类型: 国际会议

会议名称: 第五届自然语言处理与中文计算会议(NLPCC-ICCPOL2016)

会议地点: 昆明

会议语种:英文

页码: 1-12

在线出版日期: 2016-12-02（万方平台首次上网日期，不代表论文的发表时间）