Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Reason and Intuition01:37

Reason and Intuition

7.4K
The human brain processes information for decision-making using one of two routes: an intuitive system and a rational system (Epstein, 1994; popularized by Kahneman, 2011 as System 1 and System 2, respectively). The intuitive system is quick, impulsive, and operates with minimal effort, relying on emotions or habits to provide cues for what to do next, while the rational system is logical, analytical, deliberate, and methodical. Research in neuropsychology suggests that the...
7.4K
Reasoning01:30

Reasoning

413
Reasoning is the action of thinking about something in a logical, sensible way. It is integral to problem-solving, decision-making, and critical thinking. Reasoning can be inductive or deductive. Reasoning involves transforming information into conclusions, which is essential for problem-solving, decision-making, and critical thinking.
Inductive reasoning involves deriving generalizations from specific observations. This type of reasoning helps form beliefs about the world. For example,...
413
Deductive Reasoning01:16

Deductive Reasoning

64.6K
Deductive reasoning, or deduction, is the type of logic used in hypothesis-based science. In deductive reasoning, the pattern of thinking moves in the opposite direction as compared to inductive reasoning, which means that it uses a general principle or law to predict specific results. From those general principles, a scientist can deduce and predict the specific results that would be valid as long as the general principles are valid.
For example, a researcher can deduce specific predictions...
64.6K
Half-life of a Reaction02:42

Half-life of a Reaction

38.7K
The half-life of a reaction (t1/2) is the time required for one-half of a given amount of reactant to be consumed. In each succeeding half-life, half of the remaining concentration of the reactant is consumed. For example, during the decomposition of hydrogen peroxide, during the first half-life (from 0.00 hours to 6.00 hours), the concentration of H2O2 decreases from 1.000 M to 0.500 M. During the second half-life (from 6.00 hours to 12.00 hours), the concentration decreases from 0.500 M to...
38.7K
Language01:16

Language

891
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...
891
Inductive Reasoning00:59

Inductive Reasoning

65.4K
Inductive reasoning is a form of logical thinking that uses related observations to arrive at a general conclusion. It is uncertain and operates in degrees to which the conclusions are credible. As such, inductive arguments can be weak or strong, rather than valid or invalid, and conclusions can be used to formulate testable, falsifiable hypotheses.
Inductive reasoning is common in descriptive science. A life scientist makes observations and records them. This data can be qualitative or...
65.4K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Forecasting metro rail transit passenger flow with multiple-attention deep neural networks and surrounding vehicle detection devices.

Applied intelligence (Dordrecht, Netherlands)·2023
Same author

A prediction model of stock market trading actions using generative adversarial network and piecewise linear representation approaches.

Soft computing·2022
Same author

The Association Between Severity of Anemia During Pregnancy and Severe Maternal Outcomes: A Retrospective Cohort Study.

Clinical epidemiology·2022
Same author

Health-promoting properties of barley: A review of nutrient and nutraceutical composition, functionality, bioprocessing, and health benefits.

Critical reviews in food science and nutrition·2022
Same author

Auricular acupressure for adverse events following immunization after COVID-19 vaccine injection: A multicentre, blinded, randomized controlled trial.

Complementary therapies in medicine·2022
Same author

Purification and Identification of Lipid-Lowering Protein from Barley Extract after <i>Lactiplantibacillus plantarum</i> dy-1 fermentation.

Journal of agricultural and food chemistry·2022

Related Experiment Video

Updated: Jan 20, 2026

Cross-Modal Multivariate Pattern Analysis
13:51

Cross-Modal Multivariate Pattern Analysis

Published on: November 9, 2011

20.5K

Using an analogical reasoning framework to infer language patterns for negative life events.

Jheng-Long Wu1, Xiang Xiao2,3,4, Liang-Chih Yu5,6

  • 1School of Big Data Management, Soochow University, Taipei City, Taiwan.

BMC Medical Informatics and Decision Making
|August 29, 2019
PubMed
Summary
This summary is machine-generated.

This study introduces a novel framework for identifying negative life event language patterns (NLE-LPs) linked to depression. The approach effectively extracts these patterns from clinical text, aiding in mental health support.

Keywords:
Analogical reasoningLanguage pattern miningNegative life event

More Related Videos

Using Eye Movements Recorded in the Visual World Paradigm to Explore the Online Processing of Spoken Language
09:27

Using Eye Movements Recorded in the Visual World Paradigm to Explore the Online Processing of Spoken Language

Published on: October 13, 2018

10.7K
Involving Individuals with Developmental Language Disorder and Their Parents/Carers in Research Priority Setting
06:16

Involving Individuals with Developmental Language Disorder and Their Parents/Carers in Research Priority Setting

Published on: June 6, 2020

4.2K

Related Experiment Videos

Last Updated: Jan 20, 2026

Cross-Modal Multivariate Pattern Analysis
13:51

Cross-Modal Multivariate Pattern Analysis

Published on: November 9, 2011

20.5K
Using Eye Movements Recorded in the Visual World Paradigm to Explore the Online Processing of Spoken Language
09:27

Using Eye Movements Recorded in the Visual World Paradigm to Explore the Online Processing of Spoken Language

Published on: October 13, 2018

10.7K
Involving Individuals with Developmental Language Disorder and Their Parents/Carers in Research Priority Setting
06:16

Involving Individuals with Developmental Language Disorder and Their Parents/Carers in Research Priority Setting

Published on: June 6, 2020

4.2K

Area of Science:

  • Natural Language Processing
  • Computational Linguistics
  • Mental Health Informatics

Background:

  • Negative life events (NLE) are significant contributors to depression.
  • Identifying NLE language patterns (NLE-LPs) can aid in early psychiatric intervention.
  • NLE-LPs are defined as a subject and a negative event, e.g., .

Purpose of the Study:

  • To propose an analogical reasoning framework for mining NLE-LPs from psychiatric consultation documents.
  • To automatically and accurately identify individuals potentially requiring psychiatric services.

Main Methods:

  • Utilized word representation approaches like skip-gram (SG) and continuous bag-of-words (CBOW) for word embeddings.
  • Employed pattern inference methods, including cosine similarity (COSINE) and cosine multiplication similarity (COSMUL).
  • Developed an analogical reasoning framework combining word representation and pattern inference.

Main Results:

  • The proposed analogical reasoning framework outperformed traditional methods like PPMI and HAL.
  • CBOW with COSINE demonstrated superior performance as the best word representation and inference engine.
  • The framework's components improved the performance of the HAL model.

Conclusions:

  • The analogical reasoning framework offers a simple yet effective method for mining NLE-LPs.
  • The approach significantly enhances the performance of existing models like HAL.
  • This method holds potential for improving the identification of individuals in need of mental health services.