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

Structural Classification of Joints01:20

Structural Classification of Joints

3.3K
Joints, also known as articulations, are classified based on their structural characteristics, i.e., based on whether the articulating surfaces of the adjacent bones are directly connected by fibrous connective tissue or cartilage, or whether the articulating surfaces contact each other within a fluid-filled joint cavity. These differences serve to divide the joints of the body into three structural classifications.
A fibrous joint is where the adjacent bones are united by fibrous connective...
3.3K
Structuralism01:26

Structuralism

616
Structuralism, an early psychological theory developed by Wilhelm Wundt and his student Edward Bradford Titchener, sought to dissect the human mind into its most fundamental components. Wundt's groundbreaking work in his laboratory set the stage for Titchener to define structuralism's goal as cataloging the "atoms" of the mind—sensations, images, and feelings—akin to how chemists identify elements of matter.
Titchener's approach to structuralism was unique. He...
616
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
Relationship Formation02:12

Relationship Formation

40.0K
What do you think is the single most influential factor in determining with whom you become friends and whom you form romantic relationships? You might be surprised to learn that the answer is simple: the people with whom you have the most contact. This most important factor is proximity. You are more likely to be friends with people you have regular contact with. For example, there are decades of research that shows that you are more likely to become friends with people who live in your dorm,...
40.0K
Empathy02:34

Empathy

9.6K
Some researchers suggest that altruism operates on empathy. Empathy is the capacity to understand another person’s perspective, to feel what he or she feels. An empathetic person makes an emotional connection with others and feels compelled to help (Batson, 1991). Empathy can be expressed in several ways, including cognitive, affective, and motor. 
9.6K
Stereotypes, Prejudice, and Discrimination02:55

Stereotypes, Prejudice, and Discrimination

90.1K
Humans are very diverse and although we share many similarities, we also have many differences. The social groups we belong to help form our identities (Tajfel, 1974). These differences may be difficult for some people to reconcile, which may lead to prejudice toward people who are different. Prejudice is a negative attitude and feeling toward an individual based solely on one’s membership in a particular social group (Allport, 1954; Brown, 2010). Prejudice is common against people who...
90.1K

You might also read

Related Articles

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

Sort by
Same author

Prevalence and characteristics of celiac disease in Chinese children with gastrointestinal symptoms: A multicenter study.

Chinese medical journal·2026
Same author

Association between serum albumin levels and constipation prevalence: a cross-sectional analysis of NHANES 2005-2010 data.

Irish journal of medical science·2026
Same author

Proton transfer regulated photocured robust room-temperature phosphorescence from naphthalimide.

Nature communications·2026
Same author

Bio-inspired random lasers enabled by poplar catkin microstructures.

Optics express·2026
Same author

A Facile, Scalable, and Universal Strategy to Construct Densely Packed l-Lysine-Derived Zwitterionic Brushes for Blood-Contacting Catheters.

ACS applied materials & interfaces·2025
Same author

Low-threshold and stable coherent random lasing based on mesoporous silica nanoparticles in a capillary glass tube.

Optics express·2025
Same journal

Turbulent flow in a vortex separator with a directed pipe inlet.

Scientific reports·2026
Same journal

Systematic characteristic evaluation of clay-based cementitious material derived from calcium carbide residue and waste tile powder.

Scientific reports·2026
Same journal

Retraction Note: Improvement of a rapid diagnostic application of monoclonal antibodies against avian influenza H7 subtype virus using Europium nanoparticles.

Scientific reports·2026
Same journal

Applying large language models to spam detection in the Kazakh low-resource language setting.

Scientific reports·2026
Same journal

An open-source 3D printing system enabling in-situ freeze-thaw processing of hydrogels.

Scientific reports·2026
Same journal

An enhanced EfficientNet framework for automated waste classification using cosine annealing and label smoothing.

Scientific reports·2026
See all related articles

Related Experiment Video

Updated: Jun 20, 2025

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
10:28

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease

Published on: July 24, 2019

15.2K

A dynamic graph structural framework for implicit sentiment identification based on complementary semantic and

Yuxia Zhao1,2,3, Mahpirat Mamat1,4, Alimjan Aysa1,4

  • 1School of Computer Science and Technology, Xinjiang University, Ürümqi, 830046, Xinjiang, China.

Scientific Reports
|July 17, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces a novel dynamic graph framework (SIF) to improve implicit sentiment identification by integrating semantic and structural text information. SIF dynamically learns graph structures, outperforming existing methods on multiple datasets.

More Related Videos

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
08:12

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

Published on: March 1, 2022

2.5K
Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues
07:08

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues

Published on: July 14, 2015

7.3K

Related Experiment Videos

Last Updated: Jun 20, 2025

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
10:28

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease

Published on: July 24, 2019

15.2K
A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
08:12

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

Published on: March 1, 2022

2.5K
Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues
07:08

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues

Published on: July 14, 2015

7.3K

Area of Science:

  • Natural Language Processing
  • Artificial Intelligence
  • Data Mining

Background:

  • Implicit sentiment identification is challenging due to the absence of explicit sentiment words.
  • Current Graph Neural Network (GNN) methods for NLP face limitations in graph structure construction and reliance on manual expertise.
  • Existing static graph structures are often too simplistic and prone to errors, hindering semantic understanding.

Purpose of the Study:

  • To propose a dynamic graph structure framework (SIF) that addresses limitations in implicit sentiment identification.
  • To enhance feature representation by integrating complementary semantic and structural information.
  • To dynamically learn graph structures, reducing reliance on manual input and correcting errors.

Main Methods:

  • Developed a dynamic graph structure framework (SIF) leveraging semantic and structural information complementarity.
  • Constructed separate structural and semantic information graphs to enrich feature representation.
  • Implemented dynamic learning of initial static graph structures to mitigate noise and errors.

Main Results:

  • SIF significantly outperformed mainstream Natural Language Processing (NLP) methods on three public datasets.
  • Achieved high accuracy rates: 95.73% on Puns of day, 85.37% on SemEval-2021 task 7, and 65.36% on Reddit.
  • Demonstrated the effectiveness of integrating dynamic graph structures for implicit sentiment analysis.

Conclusions:

  • The proposed SIF framework offers a robust solution for implicit sentiment identification.
  • Dynamic graph learning effectively captures complex text semantics and improves model performance.
  • SIF shows significant potential for real-world applications in sentiment analysis.