使用人工智能在线新闻中的命名实体识别和情感观点监控使用人工智能
1School of Humanities and Communication, Hubei University of Science and Technology, Xianning, Hubei, China.
PeerJ. Computer science
|January 23, 2024
概括
本研究介绍了一种先进的命名实体识别 (NER) 模型,用于处理中国网络新闻. 该模型以较少的数据实现了高精度,在情绪分析中表现优于传统方法.
科学领域:
- 人工智能的人工智能
- 自然语言处理自然语言处理.
- 深度学习 (Deep Learning) 是一种深度学习.
背景情况:
- 大规模的在线新闻阻碍了网民的信息检索.
- 命名实体识别 (NER) 有助于分类文本信息,如位置和日期.
- 现有的NER模型往往需要大量的培训数据.
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