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相关概念视频

Stereotype Content Model02:16

Stereotype Content Model

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The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
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Manipulation and Analysis01:21

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GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
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Levels of Use of a GIS01:29

Levels of Use of a GIS

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Geographic Information Systems (GIS) operate across three levels of application, each representing an increasing degree of complexity: data management, analysis, and prediction. These levels reflect the expanding functionality and versatility of GIS technology in handling spatial data for diverse purposes.Data ManagementAt its foundational level, GIS serves as a tool for data management, enabling the input, storage, retrieval, and organization of spatial data. This level is often employed in...
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Aggregates Classification

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Aggregate classification is generally based on its size, petrographic characteristics, weight, and source. Size classification ranges from coarse to fine aggregates, defined by the size of the particles. Coarse aggregates are particles that do not pass through ASTM sieve No. 4, and aggregates that pass through the sieve are fine aggregates.
Petrographic classification groups aggregates based on common mineralogical characteristics. Some of the common mineral groups found in aggregates are...
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Steps in Outbreak Investigation01:18

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In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
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Qualitative Analysis01:10

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Qualitative analysis is the process of identifying elements, ions, or compounds in an unknown sample. It is the first and most fundamental type of analysis based on the hierarchy of analytical goals. This hierarchy is significant as it provides a structured approach to scientific research, with qualitative analysis serving as the initial step, providing essential information before moving on to quantitative or other forms of analysis.
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相关实验视频

Updated: Jun 20, 2025

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
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情感和语义分析:使用机器学习算法推断城市质量.

Emily Ho1,2, Michelle Schneider1,2, Sanjay Somanath3

  • 1Department of Computer Science and Engineering, University of Gothenburg, Universitetsplatsen 1, 405 30 Gothenburg, Sweden.

iScience
|July 19, 2024
PubMed
概括
此摘要是机器生成的。

这项研究使用自然语言处理自动化了城市规划采访编码. 深度学习模型准确地分类情绪,并在瑞典采访中确定主题,帮助可持续的城市转型.

关键词:
人工智能的人工智能是人工智能.机器学习是机器学习.城市规划是城市规划.

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科学领域:

  • 城市规划和设计
  • 计算语言学 计算语言学
  • 人工智能的人工智能

背景情况:

  • 可持续的城市转型需要了解公众对建筑环境的看法.
  • 定性访谈对于收集人们的意见和网站使用的见解至关重要.
  • 采访数据的手动编码是耗时且资源密集的.

研究的目的:

  • 探索使用先进的自然语言处理 (NLP) 技术进行定性面试编码的自动化.
  • 调查NLP模型在分类瑞典访谈成绩单中的情绪和语义导向方面的有效性.
  • 评估深度学习的潜力,以有效地分析城市研究中的定性数据.

主要方法:

  • 利用来自变压器 (BERT) 模型的瑞典双向编码器表示,KB-BERT,进行情绪分析 (正,负,中性分类).
  • 雇员命名实体识别 (NER) 和字符串搜索用于语义分析,使多标签主题分类成为可能.
  • 在部分注释的瑞典访谈数据集上训练和评估NLP模型.

主要成果:

  • 证明深度学习技术可以有效地自动化转录面试中的情绪分类.
  • 展示了NLP模型在文本中识别和分类领域相关主题的能力.
  • 在分类情绪和语义导向方面取得了有希望的结果,表明自动编码的可行性.

结论:

  • 该研究证实,最先进的NLP技术为自动化定性访谈编码提供了可行和有前途的解决方案.
  • 自动化分析可以显著提高城市规划收集和处理公众感知数据的效率.
  • 这种方法支持为可持续的城市转型倡议获得更全面的知识.