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相关概念视频

Stereotype Content Model02:16

Stereotype Content Model

14.0K
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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Classification of Signals01:30

Classification of Signals

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In signal processing, signals are classified based on various characteristics: continuous-time versus discrete-time, periodic versus aperiodic, analog versus digital, and causal versus noncausal. Each category highlights distinct properties crucial for understanding and manipulating signals.
A continuous-time signal holds a value at every instant in time, representing information seamlessly. In contrast, a discrete-time signal holds values only at specific moments, often denoted as x(n), where...
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Prediction Intervals01:03

Prediction Intervals

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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. 
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Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

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Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
60
Classification of Systems-I01:26

Classification of Systems-I

176
Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
176
Statistical Package for the Social Sciences (SPSS)01:22

Statistical Package for the Social Sciences (SPSS)

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The Statistical Package for the Social Sciences, or SPSS, is a data management and analysis software suite. Developed by SPSS Inc. in 1968 and acquired by IBM in 2009, this tool was initially designed for social science data analysis, evolving to serve a wider range of disciplines. It was later renamed to Statistical Product and Service Solutions.
SPSS streamlines the process from data preparation to analysis and reporting. It is characterized by its user-friendly interface, which conceals...
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Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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一个库尔德语索拉尼推特数据集用于语言建模.

Shakhawan Hares Wady1, Soran Badawi2, Fatih Kurt3

  • 1Department of Business Administration, Charmo University, KRG, Chamchamal, Kurdistan, Iraq.

Data in brief
|October 22, 2024
PubMed
概括

这项研究引入了新的库尔德语Twitter数据集,用于情绪分析. 该资源帮助研究人员开发库尔德语语言的先进自然语言处理模型.

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
  • 社交媒体分析 社交媒体分析

背景情况:

  • 情绪分析对于理解意见至关重要,但库尔德语语言资源稀缺.
  • 现有的情绪分析数据集对于库尔德语等低资源语言是有限的.

研究的目的:

  • 为库尔德语语言创建一个全面而强大的情绪分析数据集.
  • 促进库尔德语社交媒体情绪分析模型的研究和开发.

主要方法:

  • 从库尔德语的推特收集了24,668条注释的推文.
  • 标注者将推特标记为主观性,情绪 (积极,消极,中立),攻击性和目标性.
  • 通过独立审查和清理来确保数据质量.

主要成果:

  • 数据集包含8772条主观推特和15896条非主观推特.
  • 情绪分布:12,938个是负面的,3,189个是中立的,8,541个是积极的.
  • 分类有2,232条攻击性推文和22,436条非攻击性推文,其中有2,232条针对性推文.

结论:

  • 这个精心策划的数据集是推动库尔德人的情绪分析的宝贵资源.
关键词:
数据挖掘是一种数据挖掘.资源较少的语言 资源较少的语言自然语言处理自然语言处理.预处理 预处理

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  • 能够开发复杂的NLP模型来理解库尔德语语言.
  • 解决库尔德语NLP资源中的一个关键缺口.