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相关概念视频

Selected Data About Geographic Locations01:25

Selected Data About Geographic Locations

29
Geographic Information Systems (GIS) rely on two core types of data: spatial data and attribute data.Spatial DataSpatial data defines the physical location of features within a coordinate system, typically expressed in terms of latitude and longitude. It provides precise positioning for elements like roads, rivers, or buildings.Attribute DataAttribute data complements spatial data by adding descriptive information about these features. For example, a road's spatial data includes its start and...
29
Regional Terms01:12

Regional Terms

9.7K
Regional terms describe anatomy by dividing the body parts into different regions that contain structures involved in contributing similar functions. Using these terms helps increase the accurate description and identification of the particular region of interest or region affected by the disease.
Primarily, the human body has two major regions, the axial and appendicular regions. The axial region comprises regions from the head to the abdomen and makes up the central body axis. In contrast,...
9.7K
Temperature Measurement Sites01:14

Temperature Measurement Sites

1.7K
A thermometer measures body temperature. The common sites for measuring body temperature are the oral cavity, axillary region, temporal artery, and skin surface, such as the forehead, abdomen, and axilla. True core body temperature is assessed in the rectum, tympanic membrane, pulmonary artery, esophagus, and urinary bladder.
Oral: When assessing oral temperature, the thermometer tip should be placed under the tongue in the posterior sublingual pocket. It offers accurate readings and can be...
1.7K
Geometric Mean01:15

Geometric Mean

3.4K
The mean is a measure of the central tendency of a data set. In some data sets, the data is inherently multiplicative, and the arithmetic mean is not useful. For example, the human population multiplies with time, and so does the credit amount of financial investment, as the interest compounds over successive time intervals.
In cases of multiplicative data, the geometric mean is used for statistical analysis. First, the product of all the elements is taken. Then, if there are n elements in the...
3.4K
Central Tendency: Analysis01:10

Central Tendency: Analysis

158
Measures of central tendency are tools used in biostatistics to identify the average or center of a dataset. They offer a single representative value for understanding and summarizing data distribution.
The mean is one such measure, calculated by totaling all values in a dataset and dividing by the number of values. For instance, the mean blood pressure reading (120, 130, 140, 150) would be 135. However, the mean can be affected by extreme values or outliers.
The median, another measure,...
158
Measures of Central Tendency02:16

Measures of Central Tendency

16.0K
The "center" of a data set is also a way of describing location. The two most widely used measures of the "center" of the data are the mean (average) and the median. The words "mean" and "average" are often used interchangeably. The substitution of one word for the other is common practice. The technical term is "arithmetic mean" and "average" is technically a center location. However, in practice among non-statisticians,...
16.0K

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相关实验视频

Updated: Jul 14, 2025

Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study
07:50

Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study

Published on: April 18, 2025

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推特情绪 地理指数 数据集

Yuchen Chai1, Devika Kakkar2, Juan Palacios1

  • 1Sustainable Urbanization Lab, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.

Scientific data
|October 9, 2023
PubMed
概括

这项研究介绍了推特情绪地理指数 (TSGI),这是一个全球地理标签推特数据库. TSGI提供特定位置的情绪数据,以帮助衡量主观幸福感 (SWB) 并为政策提供信息.

科学领域:

  • 计算社会科学 计算社会科学
  • 地理空间分析是什么?
  • 自然语言处理自然语言处理.

背景情况:

  • 主观福祉 (SWB) 是全球发展的一个关键目标.
  • 政府越来越多地与传统指标一起使用SWB指标.
  • 需要大规模的,特定于位置的情绪数据.

研究的目的:

  • 介绍推特情绪地理指数 (TSGI) 数据库.
  • 为情绪分析提供一个全面的开源资源.
  • 促进对公众情绪地理分布的研究.

主要方法:

  • 利用深度学习和自然语言处理.
  • 分析了自2019年以来全球43亿条地理标签的推特.
  • 在admin-2层面开发了多语言情绪测量.

主要成果:

  • 创建了TSGI,这是迄今为止最广泛的Twitter情绪数据库.
  • 覆盖了164个国家,每天的情绪频率.
  • 建立了一个网页平台,以访问TSGI数据.

结论:

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  • TSGI为理解地理情绪提供了一个新的工具.
  • 该数据库支持对主观幸福 (SWB) 指标的研究.
  • 对TSGI数据的开放访问促进了更广泛的科学调查.