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相关概念视频

Time-Series Graph00:54

Time-Series Graph

4.3K
A time-series graph is a line graph with repeated measurements taken at successive intervals of time. It is also called a time series chart. To construct a time-series graph, one must look at both pieces of a paired data set. The horizontal axis is used to plot the time increments, and the vertical axis is used to plot the values of the variable that one is measuring. By using the axes in this way, each point on the graph will correspond to time and a measured quantity. The points on the graph...
4.3K
Relative Motion Analysis - Velocity01:24

Relative Motion Analysis - Velocity

343
A stroke engine has a slider-crank mechanism that converts rotational motion from the crank into linear motion of the slider or vice versa. This mechanism consists of three main parts: the crank, the connecting rod, and the slider.
When an external force is exerted, it sets the crank into a rotational movement. This, in turn, instigates the motion of the connecting rod, leading to what is referred to as a general plane motion. This process involves two key points - point A on the connecting rod...
343
Central Tendency: Analysis01:10

Central Tendency: Analysis

145
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,...
145
Relative Motion Analysis - Acceleration01:10

Relative Motion Analysis - Acceleration

341
A slider-crank mechanism converts rotational motion from the crank into linear motion of the slider or vice versa. This mechanism consists of three main parts: the crank, the connecting rod, and the slider. The movement of the slider-crank is an example of general plane motion as the fluctuating angle between the crank and the connecting rod. Consider a segment AB where point A is at the end of the slider and point B is on the diametrically opposite end to point A, on a crack. The variance in...
341
Prediction Intervals01:03

Prediction Intervals

2.2K
The interval estimate of any variable is known as the prediction interval. It helps decide if a point estimate is dependable.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y. 
2.2K
Assessing Body Temperature - Temporal Artery01:19

Assessing Body Temperature - Temporal Artery

533
Here is a stepwise guide to assessing the body temperature at the temporal artery using a temporal artery thermometer
Step 1: Perform hand hygiene and don a fresh pair of gloves to prevent cross-infection and ensure patient safety.
Step 2: Explain the procedure to the patient to establish trust. Clear communication establishes trust with the patient, ensures they understand what to expect, promotes cooperation, and enhances comfort during the procedure.  
Step 3: Assess the patient's...
533

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相关实验视频

Updated: Jun 12, 2025

Trajectory Data Analyses for Pedestrian Space-time Activity Study
16:14

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

13.5K

在空间时间数据上的Top-k情绪分析.

Abdulaziz Almaslukh1, Aisha Almaalwy1, Nasser Allheeib1

  • 1Department of Information Systems, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia.

PeerJ. Computer science
|September 24, 2024
PubMed
概括

这项研究引入了分析社交媒体情绪的有效框架,加快了在X (以前的Twitter) 等平台上对基于位置的,时间敏感的公众意见的搜索. 新的查询方法提高了搜索时间的十倍.

科学领域:

  • 社交媒体分析 社交媒体分析
  • 自然语言处理自然语言处理.
  • 数据挖掘 数据挖掘

背景情况:

  • 像X (以前的Twitter) 这样的社交媒体平台产生了大量适合情绪分析的数据.
  • 现有的情绪分析往往包括空间和时间维度,以提高准确性.
  • 需要更快的,特定于位置的,对最近社交媒体帖子的情绪分析.

研究的目的:

  • 开发数据索引和搜索查询的一般框架,以简化和加快社交媒体数据的情绪分析.
  • 通过情绪分类来增强时空数据分析.
  • 根据位置和情绪,能够有效地检索最近的top-k推文.

主要方法:

  • 提出了一个新的搜索查询,扩展了基本的空间距离查询.
  • 综合情绪分析,将时间数据分类为积极,消极或中立.
  • 在索引数据集上运行查询,以实现高效处理.

主要成果:

  • 与基线方法相比,拟议的查询显示了查询时间的十倍以上的改善.
  • 性能通过各种参数进行评估,包括top-k,查询距离和关键字数量.
  • 该框架有效地简化了基于位置的情绪分析的搜索过程.
关键词:
地理文本的使用.情绪分析是一种情绪分析.空间指数是一个空间指数.时间数据 时间数据

更多相关视频

Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps
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Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps

Published on: February 9, 2017

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Protocol for Data Collection and Analysis Applied to Automated Facial Expression Analysis Technology and Temporal Analysis for Sensory Evaluation
07:12

Protocol for Data Collection and Analysis Applied to Automated Facial Expression Analysis Technology and Temporal Analysis for Sensory Evaluation

Published on: August 26, 2016

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相关实验视频

Last Updated: Jun 12, 2025

Trajectory Data Analyses for Pedestrian Space-time Activity Study
16:14

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

13.5K
Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps
11:52

Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps

Published on: February 9, 2017

5.9K
Protocol for Data Collection and Analysis Applied to Automated Facial Expression Analysis Technology and Temporal Analysis for Sensory Evaluation
07:12

Protocol for Data Collection and Analysis Applied to Automated Facial Expression Analysis Technology and Temporal Analysis for Sensory Evaluation

Published on: August 26, 2016

9.4K

结论:

  • 开发的框架显著提高了搜索和分析社交媒体空间时间数据中的情绪的效率.
  • 这种方法通过更快地获得相关的,本地化的情绪信息来促进对公众论的更好理解.
  • 查询扩展为大型社交媒体数据集的实时情绪分析提供了一个可扩展的解决方案.