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相关概念视频

Attitudes01:54

Attitudes

28.4K
Attitude is our evaluation of a person, an idea, or an object. We have attitudes for many things ranging from products that we might pick up in the supermarket to people around the world to political policies. Typically, attitudes are favorable or unfavorable: positive or negative (Eagly & Chaiken, 1993). And, they have three components: an affective component (feelings), a behavioral component (the effect of the attitude on behavior), and a cognitive component (belief and knowledge;...
28.4K
Stereotype Content Model02:16

Stereotype Content Model

14.7K
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...
14.7K
Self-Schemas02:16

Self-Schemas

31.1K
In general, a schema is a mental construct consisting of a cluster or collection of related concepts (Bartlett, 1932). There are many different types of schemata, and they all have one thing in common: schemata are a method of organizing information that allows the brain to work more efficiently. When a schema is activated, the brain makes immediate assumptions about the person or object being observed.
31.1K
Qualitative Analysis03:46

Qualitative Analysis

22.3K
For solutions containing mixtures of different cations, the identity of each cation can be determined by qualitative analysis. This technique involves a series of selective precipitations with different chemical reagents, each reaction producing a characteristic precipitate for a specific group of cations. Metal ions within a group are further separated by varying the pH, heating the mixture to redissolve a precipitate, or adding other reagents to form complex ions.
For instance, group IV...
22.3K
MALDI-TOF Mass Spectrometry01:19

MALDI-TOF Mass Spectrometry

4.8K
Mass spectrometry is a powerful characterization technique that can identify and separate a wide variety of compounds ranging from chemical to biological entities, based on their mass-to-charge ratio (m/z). The instruments that allow this detection, known as mass spectrometers, have three components: an ion source, a mass analyzer, and a detector. These spectrometers differ based on the nature of their ion source and analyzers.
Matrix-assisted laser desorption ionization (MALDI) is a commonly...
4.8K
Data Collection by Observations01:08

Data Collection by Observations

12.0K
Data collection refers to a systematic way of obtaining, observing, measuring, and analyzing accurate information. Observational studies are one of the most widely used methods of data collection. It involves collecting data by observing the behavior and physical characteristics of a sample without making any modifications to the sample.
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...
12.0K

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相关实验视频

Updated: Jul 1, 2025

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
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Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Published on: February 23, 2019

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一个结构化的情绪分析数据集,基于来自不同领域的公众评论.

Zhongliang Wei1, Shunxiang Zhang1

  • 1School of Computer Science and Engineering, Anhui University of Science & Technology, Huainan, China.

Data in brief
|March 5, 2024
PubMed
概括

本文介绍了一个大规模的中国情绪分析数据集,包含22个领域超过20万条社交媒体评论. 数据集是精心注释用于培训和验证自然语言处理模型.

科学领域:

  • 自然语言处理自然语言处理.
  • 计算语言学 计算语言学
  • 数据科学数据科学数据科学

背景情况:

  • 情绪分析对于了解公众论至关重要.
  • 现有的中国情绪分析数据集在范围和规模上有限.
  • 社交媒体为情绪分析提供了丰富的用户生成内容来源.

研究的目的:

  • 为中文语言引入一个全面的,结构化的情绪分析数据集.
  • 促进中国情绪分析模型的开发和评估.
  • 为自然语言处理研究人员提供可靠的资源.

主要方法:

  • 从22个不同领域收集了超过20万条社交媒体评论.
  • 预先处理的数据,保留情绪解释所必需的表情符号.
  • 每个评论都由研究人员手动标注情绪标签 (积极,消极,中立).
  • 按主题分组评论进行结构化分析.

主要成果:

  • 一个大规模的,手动注释的情绪分析数据集,用于中国社交媒体.
  • 数据集涵盖了22个不同主题,用户参与度很高.
  • 确保情绪分析模型的培训,验证和测试的可靠性.
关键词:
自然语言处理自然语言处理.情感分类的分类方式文本挖掘 (Text Mining) 是一种文字挖掘的方法.三重分类是三重的分类.

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

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Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

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Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

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结论:

  • 引入的数据集是推动中国情绪分析的宝贵资源.
  • 它支持创建更准确,更强大的自然语言处理模型.
  • 能够更深入地了解中国社交媒体上公众论的表达.