数据科学家谈论的是哪些问题? 使用问答社区的语义内容分析识别当前的数据科学问题
1Department of Management Information Systems, Faculty of Economics and Administrative Sciences, Karadeniz Technical University, Trabzon, Turkey.
PeerJ. Computer science
|June 22, 2023
概括
数据科学家经常使用问答网站来解决挑战. 分析显示",模型训练"",机器学习"和"神经网络"是突出的",数据操纵"和"工具"是最受欢迎的,而"时间序列"是最困难的.
科学领域:
- 数据科学数据科学数据科学
- 计算机科学 计算机科学
- 信息科学 信息科学 信息科学
背景情况:
- 由于跨学科的参与,数据科学正在迅速发展.
- 开发数据科学服务的挑战导致从业者在问答平台上寻求解决方案.
- 这些平台作为有价值的知识库,用于理解数据科学趋势和应用.
研究的目的:
- 在一个专门的问答网站 (DSSE) 上分析数据科学家的查询.
- 识别数据科学社区中的关键主题,趋势和挑战.
- 了解各种数据科学科目的受欢迎程度和难度.
主要方法:
- 利用潜伏的迪里克莱特分配 (LDA),一种概率主题建模技术.
- 分析了数据科学堆交换 (DSSE) 问答网站的所有帖子.
- 根据帖子的浏览量和参与度,量化主题的受欢迎程度和难度.
主要成果:
- 确定了18个突出主题,反映了当前数据科学的兴趣和问题.
- "模型训练"",机器学习"和"神经网络"是最突出的话题.
- "数据操纵"",编码错误"和"工具"是最受欢迎的,而"时间序列"",计算机视觉"和"推系统"是最困难的.
结论:
- 该研究提供了对数据科学从业者的实际挑战和重点领域的见解.
- 这些发现可以指导数据驱动架构,工具和教育资源的开发.
- 了解主题的受欢迎程度和难度可以为课程设计提供信息,并支持数据科学中的资源配置.
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