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

Classification of Signals01:30

Classification of Signals

980
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...
980
Detection of Black Holes01:10

Detection of Black Holes

2.3K
Although black holes were theoretically postulated in the 1920s, they remained outside the domain of observational astronomy until the 1970s.
Their closest cousins are neutron stars, which are composed almost entirely of neutrons packed against each other, making them extremely dense. A neutron star has the same mass as the Sun but its diameter is only a few kilometers. Therefore, the escape velocity from their surface is close to the speed of light.
Not until the 1960s, when the first neutron...
2.3K
Classification of Titrimetric Analysis Based on Reaction Types01:01

Classification of Titrimetric Analysis Based on Reaction Types

877
Titrimetric analysis in solution chemistry involves measuring the volume of solutions and is often called volumetric analysis. The standard solution of known concentration in the burette is called the titrant, whereas the solution of unknown concentration in the flask is called the analyte, or titrand. Titrimetric analyses can be classified into four types based on the reactions between the titrant and analyte.
Titrations between an acid and a base lead to neutralization reactions that form...
877
Classification of Systems-II01:31

Classification of Systems-II

251
Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,
251
Classification of Systems-I01:26

Classification of Systems-I

346
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:
346
Weak Base Solutions03:21

Weak Base Solutions

23.2K
Some compounds produce hydroxide ions when dissolved by chemically reacting with water molecules. In all cases, these compounds react only partially and so are classified as weak bases. These types of compounds are also abundant in nature and important commodities in various technologies. For example, global production of the weak base ammonia is typically well over 100 metric tons annually, being widely used as an agricultural fertilizer, a raw material for chemical synthesis of other...
23.2K

You might also read

Related Articles

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

Sort by
Same author

Reducing P-O bond covalency in polyanionic groups to increase the intrinsic electronic conductivity in sodium positive electrodes.

Nature communications·2026
Same author

Multi-omics association analysis of the toxicity mechanism differences of typical veterinary antibiotics on tomatoes: From physiological inhibition to metabolic reprogramming.

Journal of hazardous materials·2026
Same author

BLIT: an R package for seamless integration of command-line bioinformatics tool universe.

Bioinformatics advances·2026
Same author

Prelithiation for Lithium-Ion Batteries: Material and Process Innovations.

Advanced materials (Deerfield Beach, Fla.)·2026
Same author

Stabilizing active N species on support for enhancing ammonia synthesis.

National science review·2026
Same author

Bibliometric and Visualized Analysis of 3D Printing in Cartilage Repair.

Aesthetic plastic surgery·2026
Same journal

RETRACTION: Real-Time Modulation of Physical Training Intensity Based on Wavelet Recursive Fuzzy Neural Networks.

Computational intelligence and neuroscience·2026
Same journal

RETRACTION: Multidimensional Heterogeneous Network Link Adaptation Based on Mobile Environment.

Computational intelligence and neuroscience·2026
Same journal

RETRACTION: Framework to Segment and Evaluate Multiple Sclerosis Lesion in MRI Slices Using VGG-UNet.

Computational intelligence and neuroscience·2026
Same journal

RETRACTION: Facial Emotion Recognition Using a Novel Fusion of Convolutional Neural Network and Local Binary Pattern in Crime Investigation.

Computational intelligence and neuroscience·2026
Same journal

RETRACTION: Automatic Intelligent System Using Medical of Things for Multiple Sclerosis Detection.

Computational intelligence and neuroscience·2026
Same journal

RETRACTION: Intangible Cultural Heritage Reproduction and Revitalization: Value Feedback, Practice, and Exploration Based on the IPA Model.

Computational intelligence and neuroscience·2026
See all related articles

Related Experiment Video

Updated: Sep 29, 2025

P300-Based Brain-Computer Interface Speller Performance Estimation with Classifier-Based Latency Estimation
06:09

P300-Based Brain-Computer Interface Speller Performance Estimation with Classifier-Based Latency Estimation

Published on: September 8, 2023

684

Short-Text Classification Detector: A Bert-Based Mental Approach.

Yongjun Hu1, Jia Ding2, Zixin Dou1,3

  • 1School of Management, Guangzhou University, Guangzhou 510006, China.

Computational Intelligence and Neuroscience
|March 21, 2022
PubMed
Summary
This summary is machine-generated.

This study enhances short text classification accuracy by integrating reviewer mental features with the Bert model. Combining these features significantly boosts performance compared to traditional methods.

More Related Videos

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images
08:20

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

Published on: October 27, 2023

1.8K
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

8.9K

Related Experiment Videos

Last Updated: Sep 29, 2025

P300-Based Brain-Computer Interface Speller Performance Estimation with Classifier-Based Latency Estimation
06:09

P300-Based Brain-Computer Interface Speller Performance Estimation with Classifier-Based Latency Estimation

Published on: September 8, 2023

684
Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images
08:20

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

Published on: October 27, 2023

1.8K
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

8.9K

Area of Science:

  • Natural Language Processing
  • Machine Learning
  • Social Media Analysis

Background:

  • Short text on social media presents classification challenges due to data sparsity and brevity.
  • Existing text classification methods struggle with the nuances of short, informal text.

Purpose of the Study:

  • To improve short text classification accuracy by incorporating reviewer mental features.
  • To evaluate the effectiveness of the Bert model in capturing and utilizing these mental features.

Main Methods:

  • Developed a classification model using the Bert architecture.
  • Fine-tuned the Bert model to embed reviewer mental features alongside textual data.
  • Compared the proposed method against Support Vector Machines, Convolutional Neural Networks, and Recurrent Neural Networks.

Main Results:

  • Mental features significantly enhance short text classification accuracy.
  • Integrating mental features and text as combined input vectors yields superior results compared to separate vectors.
  • The Bert model effectively captures mental features, outperforming other machine learning methods in classification.

Conclusions:

  • Incorporating reviewer mental features is crucial for improving short text classification.
  • The Bert model demonstrates superior capability in leveraging mental features for enhanced classification accuracy.
  • This approach offers a promising direction for advancing short text classification research and applications.