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

Empathy02:34

Empathy

9.5K
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. 
9.5K
Improving Translational Accuracy02:07

Improving Translational Accuracy

2.5K
2.5K
Attitudes01:54

Attitudes

28.1K
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;...
28.1K
Extraction: Advanced Methods00:56

Extraction: Advanced Methods

402
Metal ions can be separated from one another by complexation with organic ligands–the chelating agent– to form uncharged chelates. Here, the chelating agent must contain hydrophobic groups and behave as a weak acid, losing a proton to bind with the metal. Since most organic ligands used in this process are insoluble or undergo oxidation in the aqueous phase, the chelating agent is initially added to the organic phase and extracted into the aqueous phase. The metal-ligand complex is...
402
Variability: Analysis01:11

Variability: Analysis

125
Measures of variability are statistical metrics that reveal the dispersion pattern within a dataset. They are pivotal in biostatistics, providing insights into the heterogeneity within health and biological data. Variability signifies the degree to which data points diverge from one another, helping researchers understand the potential range of values and associated uncertainty within the data.
The range is a simple measure of variability, indicating the difference between the highest and...
125
Classification of Titrimetric Analysis Based on Reaction Types01:01

Classification of Titrimetric Analysis Based on Reaction Types

704
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...
704

You might also read

Related Articles

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

Sort by
Same author

Formal modeling and verification of GRANDPA finalization safety in polkadot.

Scientific reports·2026
Same author

Heart disease prediction using hybrid TabNet architecture with stacked ensemble learning.

Frontiers in physiology·2025
Same author

Synthesis of functionalized benzofuran esters through Suzuki-Miyaura cross-coupling reactions, their DFT and pharmacological studies.

Pakistan journal of pharmaceutical sciences·2025
Same author

Adaptive regularized spectral reduction for stabilizing ill-conditioned bone-conducted speech signals.

PeerJ. Computer science·2025
Same author

AI-driven patient support: Evaluating the effectiveness of ChatGPT-4 in addressing queries about ovarian cancer compared with healthcare professionals in gynecologic oncology.

Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer·2025
Same author

PD-DETECTOR: A sustainable and computationally intelligent mobile application model for Parkinson's disease severity assessment.

Heliyon·2024
Same journal

DARUMA: a gateway to fast and easy prediction of intrinsically disordered regions.

PeerJ. Computer science·2026
Same journal

Alzheimer's disease detection using a quantum deep neural network with Haralick feature extraction and simulated annealing optimization.

PeerJ. Computer science·2026
Same journal

Network anomaly detection using Deep Autoencoder and parallel Artificial Bee Colony algorithm-trained neural network.

PeerJ. Computer science·2026
Same journal

An anomaly detection model for multivariate time series with anomaly perception.

PeerJ. Computer science·2026
Same journal

Retraction: A wormhole attack detection method for tactical wireless sensor networks.

PeerJ. Computer science·2026
Same journal

Evaluation of mental disorder with prioritization of its type by utilizing the bipolar complex fuzzy decision-making approach based on Schweizer-Sklar prioritized aggregation operators.

PeerJ. Computer science·2026
See all related articles

Related Experiment Videos

Evolving techniques in sentiment analysis: a comprehensive review.

Mahander Kumar1, Lal Khan2, Hsien-Tsung Chang3,4,5

  • 1Department of Computer Science, Mir Chakar Khan Rind University, Sibi, Balochistan, Pakistan.

Peerj. Computer Science
|February 17, 2025
PubMed
Summary
This summary is machine-generated.

Sentiment analysis techniques are evolving to process vast user-generated content from social media. This review details methods from machine learning to advanced transformer models like BERT and GPT, aiding future research.

Keywords:
Natural language processingSentiment analysisSocial media

Related Experiment Videos

Area of Science:

  • Natural Language Processing (NLP)
  • Computational Social Science
  • Artificial Intelligence (AI)

Background:

  • Explosion of user-generated content on social media and e-commerce platforms.
  • Challenges in analyzing vast, unstructured public sentiment data.
  • Need for automated opinion and emotion detection in text.

Purpose of the Study:

  • To comprehensively review evolving sentiment analysis techniques.
  • To compare classical and modern methodologies, including transformer models.
  • To identify current trends, future directions, and challenges in the field.

Main Methods:

  • Examination of foundational processes: data gathering and feature extraction.
  • Review of word embedding techniques and machine learning algorithms.
  • Analysis of contextual embeddings and advanced transformer models (GPT, BERT, T5).

Main Results:

  • Detailed comparison of various sentiment analysis methodologies.
  • Highlighting appropriate uses and limitations of different techniques.
  • Synthesis of current trends and future research avenues.

Conclusions:

  • Sentiment analysis is crucial for understanding public sentiment from online data.
  • Advanced models like BERT and GPT offer significant improvements over traditional methods.
  • The review provides a foundation for assessing the current state and guiding future advancements in sentiment analysis.