• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>International conference on Asian language processing >Dimensional Sentiment Analysis for Chinese words Based on synonym lexicon and Word Embedding
【24h】

Dimensional Sentiment Analysis for Chinese words Based on synonym lexicon and Word Embedding

机译：基于同义词词汇和Word嵌入的汉语单词的尺寸情绪分析

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

This paper is mainly about the BIT group submitted system to the IALP-2016 Shared Task. This system is to automatically acquire the valence-arousal ratings of Chinese affective words. Two ways are designed to generate a given word's VA: one is based on Synonym Lexicons and the other is based on Word Embeddings. For the first way, we extend the annotated set based on synonym lexicon to improve coverage of unknown words, and then search test words or characters split from unknown words in extended annotated set. For the second way, we broaden the words coverage by building a local words segmentation lexicon in the vector space model. The cosine similarity is used to measure the distance between the test word and the annotated word. According to the experimental results, the strategy based on the synonym lexicons is better than the one based on the word embeddings, and makes our group in upper grades among 20 teams approximately.
机译：本文主要涉及比特组提交的系统到IALP-2016共享任务。该系统是自动获取中国情感词的价值唤醒评级。设计了两种方式来生成给定的单词的VA：一个是基于同义词词汇权，另一个是基于Word Embeddings。出于第一种方法，我们基于同义词词典扩展了注释集，以提高未知单词的覆盖范围，然后搜索从扩展注释集中的未知单词拆分的测试单词或字符。出于第二种方式，我们通过在向量空间模型中构建本地单词分割词典来扩大文字覆盖范围。余弦相似度用于测量测试单词和注释字之间的距离。根据实验结果，基于同义词词汇的战略优于基于嵌入词的单词，并使我们的小组在20支球队中的上级。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号