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

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

You might also read

Related Articles

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

Sort by
Same author

Modulation of Aβ <sub>42</sub>-induced toxic effects on the cultured neuronal network activity by extracellular matrix stiffness.

Acta biochimica et biophysica Sinica·2025
Same author

A novel mutation in the KLHL17 gene is associated with neurodevelopmental disorders.

Genes & diseases·2025
Same author

Different Doses of Dexmedetomidine Reduce Postoperative Sleep Disturbance Incidence in Patients under General Anesthesia by Elevating Serum Neurotransmitter Levels.

Critical reviews in immunology·2024
Same author

Genetic and phenotypic analysis of 225 Chinese children with developmental delay and/or intellectual disability using whole-exome sequencing.

BMC genomics·2024
Same author

Neuroprotective potential of sevoflurane against isoflurane induced cognitive dysfunction in rats via anti-inflammatory and antioxidant effect.

Acta cirurgica brasileira·2023
Same author

A Joint Extraction Model for Entity Relationships Based on Span and Cascaded Dual Decoding.

Entropy (Basel, Switzerland)·2023

Related Experiment Video

Updated: Jul 1, 2025

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
09:20

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

Published on: February 23, 2019

8.7K

A structured sentiment analysis dataset based on public comments from various domains.

Zhongliang Wei1, Shunxiang Zhang1

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

Data in Brief
|March 5, 2024
PubMed
Summary
This summary is machine-generated.

This paper introduces a large-scale Chinese sentiment analysis dataset with over 200,000 social media comments across 22 domains. The dataset is meticulously annotated for training and validating natural language processing models.

Keywords:
Natural language processingSentiment classificationText miningTriple classification

More Related Videos

Protocol for Data Collection and Analysis Applied to Automated Facial Expression Analysis Technology and Temporal Analysis for Sensory Evaluation
07:12

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

Published on: August 26, 2016

9.4K
Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

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

Published on: December 6, 2024

555

Related Experiment Videos

Last Updated: Jul 1, 2025

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
09:20

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

Published on: February 23, 2019

8.7K
Protocol for Data Collection and Analysis Applied to Automated Facial Expression Analysis Technology and Temporal Analysis for Sensory Evaluation
07:12

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

Published on: August 26, 2016

9.4K
Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

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

Published on: December 6, 2024

555

Area of Science:

  • Natural Language Processing
  • Computational Linguistics
  • Data Science

Background:

  • Sentiment analysis is crucial for understanding public opinion.
  • Existing Chinese sentiment analysis datasets are limited in scope and size.
  • Social media provides a rich source of user-generated content for sentiment analysis.

Purpose of the Study:

  • To introduce a comprehensive, structured sentiment analysis dataset for the Chinese language.
  • To facilitate the development and evaluation of Chinese sentiment analysis models.
  • To provide a reliable resource for researchers in natural language processing.

Main Methods:

  • Collected over 200,000 social media comments from 22 diverse domains.
  • Preprocessed data, retaining emoticons essential for sentiment interpretation.
  • Manually annotated each comment with sentiment labels (positive, negative, neutral) by researchers.
  • Grouped comments by topic for structured analysis.

Main Results:

  • A large-scale, manually annotated sentiment analysis dataset for Chinese social media.
  • Dataset covers 22 diverse topics with high user engagement.
  • Ensures reliability for training, validation, and testing of sentiment analysis models.

Conclusions:

  • The introduced dataset is a valuable resource for advancing Chinese sentiment analysis.
  • It supports the creation of more accurate and robust natural language processing models.
  • Facilitates deeper insights into public opinion expressed on Chinese social media.