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

Methods of Classification and Identification01:28

Methods of Classification and Identification

1.3K
Bacterial identification relies on a diverse array of techniques to classify and understand microorganisms, each tailored to uncover specific characteristics. Traditional morphological approaches, while still valuable, are limited for closely related or structurally simple organisms. Modern methods integrate biochemical, serological, genetic, and advanced molecular tools to achieve greater accuracy.Morphological and Biochemical TechniquesMorphological characteristics, such as cell shape and...
1.3K
Force Classification01:22

Force Classification

2.5K
Forces play a crucial role in the study of physics and engineering. They are essential in describing the motion, behavior, and equilibrium of objects in the physical world. Forces can be classified based on their origin, type, and direction of action.
Contact and non-contact forces are two of the most widely used categories of forces. As the name suggests, contact forces require physical contact between two objects to act upon each other. Examples of contact forces include frictional,...
2.5K
Stereotype Content Model02:16

Stereotype Content Model

15.5K
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...
15.5K
Components of Language01:24

Components of Language

839
Language, whether spoken, signed, or written, consists of specific components: lexicon and grammar. The lexicon is the vocabulary of a language, comprising its words. Grammar is the set of rules used to convey meaning through the lexicon. For example, English grammar adds “-ed” to most verbs to indicate past tense. Words are formed by combining phonemes, which are the basic sound units of a language. Different languages have different sets of phonemes (e.g., “ah” vs.
839
Non-Verbal Cues01:29

Non-Verbal Cues

353
Non-verbal communication extends beyond gestures and facial expressions to include vocal elements known as paralanguage. Paralanguage consists of non-verbal vocal cues such as pitch, loudness, speech rate, pauses, and non-verbal vocalizations like laughter, sighs, and moans. These elements not only accompany speech but also provide critical emotional and contextual information.The Role of Paralanguage in CommunicationParalanguage adds depth to spoken language by conveying emotions and...
353
Classification of Titrimetric Analysis Based on Reaction Types01:01

Classification of Titrimetric Analysis Based on Reaction Types

1.9K
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...
1.9K

You might also read

Related Articles

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

Sort by
Same author

Author Correction: Song lyrics have become simpler and more repetitive over the last five decades.

Scientific reports·2024
Same author

Song lyrics have become simpler and more repetitive over the last five decades.

Scientific reports·2024
Same author

Modeling Mentor-Mentee Dialogues in Film.

Cybernetics and systems·2019
Same author

Strategic Talk in Film.

Cybernetics and systems·2018
Same author

Exploring the Structure of Spatial Representations.

PloS one·2016
Same author

Adaptive and Background-Aware GAL4 Expression Enhancement of Co-registered Confocal Microscopy Images.

Neuroinformatics·2016
Same journal

Improving LIME Stability via Density-Awareness: Evaluation and Comparison of AKDE-LIME.

Applied artificial intelligence : AAI·2026
Same journal

A Pipeline for Automating Emergency Medicine Documentation Using LLMs with Retrieval-Augmented Text Generation.

Applied artificial intelligence : AAI·2025
Same journal

An evaluation of machine learning techniques to predict the outcome of children treated for Hodgkin-Lymphoma on the AHOD0031 trial: A report from the Children's Oncology Group.

Applied artificial intelligence : AAI·2021
Same journal

Robust Feature Selection Technique using Rank Aggregation.

Applied artificial intelligence : AAI·2014
Same journal

Maintaining Engagement in Long-term Interventions with Relational Agents.

Applied artificial intelligence : AAI·2011
See all related articles

Related Experiment Video

Updated: Feb 19, 2026

Exploring the Use of Isolated Expressions and Film Clips to Evaluate Emotion Recognition by People with Traumatic Brain Injury
05:51

Exploring the Use of Isolated Expressions and Film Clips to Evaluate Emotion Recognition by People with Traumatic Brain Injury

Published on: May 15, 2016

9.5K

Automatic Identification of Character Types from Film Dialogs.

Marcin Skowron1, Martin Trapp1, Sabine Payr1

  • 1Austrian Research Institute for Artificial Intelligence OFAI, Vienna, Austria.

Applied Artificial Intelligence : AAI
|November 10, 2017
PubMed
Summary
This summary is machine-generated.

This study introduces an integrated approach for identifying fictional character types in screenplays by combining linguistic analysis with interactive and communication characteristics. This method significantly improves character type detection performance compared to traditional linguistic-only methods.

More Related Videos

Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception
05:48

Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception

Published on: August 9, 2024

2.0K
Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody
09:09

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody

Published on: September 27, 2024

912

Related Experiment Videos

Last Updated: Feb 19, 2026

Exploring the Use of Isolated Expressions and Film Clips to Evaluate Emotion Recognition by People with Traumatic Brain Injury
05:51

Exploring the Use of Isolated Expressions and Film Clips to Evaluate Emotion Recognition by People with Traumatic Brain Injury

Published on: May 15, 2016

9.5K
Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception
05:48

Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception

Published on: August 9, 2024

2.0K
Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody
09:09

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody

Published on: September 27, 2024

912

Area of Science:

  • Computational linguistics
  • Artificial intelligence
  • Natural language processing

Background:

  • Identifying fictional character types from dialogue is challenging.
  • Linguistic analysis alone is insufficient for comprehensive character identification.
  • Existing methods lack the ability to capture interactive and communication nuances.

Purpose of the Study:

  • To develop an integrative approach for fictional character type detection.
  • To enhance identification performance by combining linguistic analysis with interactive characteristics.
  • To introduce a novel dataset for evaluating character type detection in action movies.

Main Methods:

  • Developed an integrative approach combining linguistic analysis with interactive and communication characteristics.
  • Utilized semantic graphs weighted by linguistic markers of expressivity and social role to capture interactive traits.
  • Introduced a new dataset of action movie character types and their dialogue sequences.

Main Results:

  • The integrated approach significantly outperformed baseline methods in character type identification.
  • Demonstrated improved performance on the newly introduced action movie dataset.
  • Comparative analysis highlighted the effectiveness of incorporating interactive and communication features.

Conclusions:

  • The integrative approach offers superior performance for fictional character type detection.
  • Combining linguistic, interactive, and communication features is crucial for accurate character analysis.
  • Future research should explore limitations and further refine character identification models.