| 增量学习算法对文本情感识别模型的改进 |
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| 引用本文： | 庞娜. 增量学习算法对文本情感识别模型的改进[J]. 电脑开发与应用, 2011, 24(7): 46-48 |
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| 作者姓名： | 庞娜 |
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| 作者单位： | 山西电力职业技术学院 太原030021 |
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| 摘 要： | 常规的文本情感识别模型不能适应语言的发展,使新生的词汇不能得到有效的情感划分,并且情感识别率低.使用增量学习算法来改进文本情感识别模型,通过收集用户反馈数据,提取其中有价值的情感信息来更新常识库,从而实现对情感识别模型的改进.通过情感聊天的两组对比实验证明了加入增量学习算法的文本情感识别模型准确率优于没有加入增量学习算...
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| 关 键 词： | 增量学习 文本情感识别 常识库 用户反馈 |
Inprovement on Textual Emtion Recognition Model using Incremental Learning Method |
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| Pang Na. Inprovement on Textual Emtion Recognition Model using Incremental Learning Method[J]. Computer Development & Applications, 2011, 24(7): 46-48 |
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| Authors: | Pang Na |
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| Abstract: | This paper improves the textual emotion recognition model using the incremental learning method.It updates the commonsense knowledge base by gathering user feedback and extracting the valuable information.At last,the experiment results show that after combining incremental learning method the accuracy of textual emotion recognition enhances gradually,and it has higher performance than the one without. |
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| Keywords: | incremental learning method textual emotion recognition commonsense knowledge base user feedback |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
