智能设备中的基于方面的情绪分析:一个全面和专业的数据集.
Salem Alghamdi1, Yaser Alhasawi2
1Digital Transformation and Information Department, Institute of Public Administration (IPA), Saudi Arabia.
Data in brief
|December 13, 2024
概括
这项研究引入了一个新的数据集,用于基于智能设备的面向情绪分析,这对于改善用户体验至关重要. 它包括2370条涵盖30个方面的评论,有助于机器学习模型的开发.
科学领域:
- 计算机科学 计算机科学
- 人与计算机的交互
背景情况:
- 了解用户情绪对于智能设备开发至关重要.
- 现有的数据集可能缺乏细微方面分析的特异性.
研究的目的:
- 为智能设备引入一种新的基于方面的情绪分析数据集.
- 为此领域的情感分析研究提供基础资源.
主要方法:
- 从美国主要电子商务平台 (亚马逊,Target,沃尔玛) 编制了2370条用户评论.
- 使用与行业专业人士和最终用户的咨询方法来确定关键的情绪方面.
- 涵盖了10种不同的智能设备和大约30个不同的方面.
主要成果:
- 数据集具有平衡的情绪分布:有842个正面评论,800个负面评论和728个中立评论.
- 通过专家和用户咨询,确定了"时钟"",连接性"和"声音"等关键方面.
- 该数据集可以作为机器和深度学习模型的宝贵训练数据.
结论:
- 这种基于方面的情绪分析数据集为智能设备用户体验提供了全面的见解.
- 它是推动情绪分析研究和改进智能设备技术的基础资源.
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