期刊论文

中文

语言文字应用

1003-5397

2018

3

134-142

10.16499/j.cnki.1003-5397.2018.03.014

国家语委“十三五”科研规划重点项目“新媒体意见领袖话语传播机制研究”（ZDI135-11）； 国家社科基金青年项目“基于大规模标注语料库的自媒体语言计量研究”（12CYY030）的支持；

本校为第一机构

本文尝试运用计算语言学中基于搜索引擎的点互信息（PMI-IR）计算方法,对所选取的18个＂情移＂类词语进行量化考察,并利用Word2vec计算方法对互信息计算结果进行校正。结果表明,＂情移＂现象确实存在,且具有时效性强、易受影响等特点。网络热点事件与此类词语的调侃性、自嘲性是＂情移＂现象产生与热传的主要原因。

This paper attempts to quantify the emotional tendency of 18 emotionally deviated words by using the point-wise mutual information computational method based on information retrieval（ PMI-IR） in Computational Linguistics. In addition,word2 vec is used for adjustment of the output of PMI-IR. The results show that emotional deviation has the characteristic of strong timeliness,and it can be easily affected. The main reasons for generation and spread of the emotionally deviated words include hot even...