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相关概念视频

Language and Cognition01:27

Language and Cognition

377
Language serves as a bridge between ideas and communication, influencing how individuals perceive and interact with the world. Psychologists have long debated whether language shapes thought or vice versa. This discussion gained grip with Edward Sapir and Benjamin Lee Whorf in the 1940s, who proposed that language determines thought, a concept known as linguistic determinism. They suggested that the vocabulary and structure of a language influence how its speakers think and perceive reality.
377
Language Development01:22

Language Development

403
Children master language quickly and with relative ease, supported by both biological predisposition and reinforcement. B. F. Skinner (1957) proposed that language is learned through reinforcement, while Noam Chomsky (1965) argued that language acquisition mechanisms are biologically determined.
The critical period for language acquisition suggests that the ability to acquire language is at its peak early in life. As people age, this proficiency decreases. Language development begins very...
403
Higher Mental Functions of the Brain: Language01:10

Higher Mental Functions of the Brain: Language

934
Language is a system of communication that allows the expression of thoughts, ideas, and feelings. The brain processes language in both hemispheres.
Language formation and comprehension take place in the dominant hemisphere. The dominant hemisphere is responsible for understanding the meaning of spoken, written, or sign language, as well as the ability to communicate. For most people, the left hemisphere is the dominant one. The right hemisphere, then, gives tone and emotional context to the...
934
Social Proof00:52

Social Proof

27.7K
Social proof is a form of persuasion based on comparison and conformity. People compare their behavior and actions to what others are doing and will change to conform to do what their peers do.
27.7K
Improving Translational Accuracy02:07

Improving Translational Accuracy

11.7K
Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
11.7K
Language01:16

Language

250
Language is a unique communication system that uses words and systematic rules to organize and transmit information. Unlike other forms of communication, which may involve postures, movements, odors, or vocalizations, language relies on symbols and grammar. This makes human communication distinct from that of other species, who also communicate but do not use language in the same way humans do.
Corballis and Suddendorf (2007) and Tomasello and Rakoczy (2003) highlight the role of language in...
250

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相关实验视频

Updated: Jul 25, 2025

Objectification of Tongue Diagnosis in Traditional Medicine, Data Analysis, and Study Application
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Objectification of Tongue Diagnosis in Traditional Medicine, Data Analysis, and Study Application

Published on: April 14, 2023

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使用深度学习揭穿多语言社交媒体帖子.

Bina Kotiyal1, Heman Pathak1, Nipur Singh1

  • 1Department of Computer Science, Gurukula Kangri (Deemed to be University), Haridwar, Uttarakhand India.

International journal of information technology : an official journal of Bharati Vidyapeeth's Institute of Computer Applications and Management
|June 26, 2023
PubMed
概括
此摘要是机器生成的。

这项研究引入了深度学习方法 (DSMPD) 来检测英语和印度语社交媒体帖子中的假新闻. 该模型分析了情绪和实体等特征来分类新闻,旨在有效打击错误信息.

关键词:
深度学习 (DL) 是指深度学习.ELMo (语言模型的嵌入)假新闻是虚假的新闻.机器学习 (ML) 是指机器学习.错误的信息是错误的信息.自然语言处理 (NLP)后面的真相 后面的真相情绪分析是一种情绪分析.

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Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
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相关实验视频

Last Updated: Jul 25, 2025

Objectification of Tongue Diagnosis in Traditional Medicine, Data Analysis, and Study Application
05:56

Objectification of Tongue Diagnosis in Traditional Medicine, Data Analysis, and Study Application

Published on: April 14, 2023

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Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
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科学领域:

  • 人工智能的人工智能
  • 自然语言处理自然语言处理.
  • 计算语言学 计算语言学

背景情况:

  • 社交媒体上的假新闻对公众论构成重大威胁.
  • 检测多语言假新闻需要先进的计算方法.

研究的目的:

  • 开发和评估一个深度学习模型,用于揭穿多语言社交媒体帖子.
  • 创建一个强大的系统来识别和分类假新闻在英语和印度语.

主要方法:

  • 网络抓取和自然语言处理 (NLP) 技术被用来构建英语和印度语社交媒体帖子的数据集.
  • 通过使用ELMo嵌入,TF-IDF,情绪分析和命名实体识别 (NER) 等功能训练了一个深度学习模型.
  • 在超过45,000篇文章的数据集上评估了分类器,比较了机器学习 (ML) 和深度学习 (DL) 算法.

主要成果:

  • 建议使用深度学习 (DSMPD) 方法解读多语言社交媒体帖子的方法在分类新闻方面表现出有效性.
  • 该模型将新闻分为五个层次:真实,可能真实,可能伪造,伪造或危险伪造.
  • 在ML和DL算法之间的性能比较中,确定了用于假新闻检测的最佳模型.

结论:

  • 深度学习模型为在多种语言中检测假新闻提供了一个有希望的解决方案.
  • DSMPD的方法为分析社交媒体内容提供了一个框架,以打击错误信息的传播.
  • 进一步的研究可以完善这些模型,以提高准确性和更广泛的语言支持.