Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Classification of Systems-I

Classification of Systems-I

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:

Aggregates Classification

Aggregates Classification

Aggregate classification is generally based on its size, petrographic characteristics, weight, and source. Size classification ranges from coarse to fine aggregates, defined by the size of the particles. Coarse aggregates are particles that do not pass through ASTM sieve No. 4, and aggregates that pass through the sieve are fine aggregates.
Petrographic classification groups aggregates based on common mineralogical characteristics. Some of the common mineral groups found in aggregates are...

Types of Surveys

Types of Surveys

Surveys are essential for marking property boundaries near water bodies. Different types of surveys are defined, each with its own function. Land surveys mark the property boundaries, while route surveys determine the position of properties on nearby highways. Topographic surveys create maps by capturing the three-dimensional features of the land. Hydrographic surveys focus on the shapes of underwater areas and the movement of streams through the properties. Mine surveys determine the relative...

Classification of Systems-II

Classification of Systems-II

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,

Classification of Signals

Classification of Signals

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...

Language and Cognition

Language and Cognition

Language serves as a bridge between ideas and communication, influencing how individuals perceive and interact with the world. Psychologists have long debated whether language shapes thought or vice versa. This discussion gained grip with Edward Sapir and Benjamin Lee Whorf in the 1940s, who proposed that language determines thought, a concept known as linguistic determinism. They suggested that the vocabulary and structure of a language influence how its speakers think and perceive reality.

You might also read

Related Articles

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

Sort by

Same author

MicroRNA profiling in post-mortem spinal cord of C9ORF72-related ALS patients reveals molecular pathways involved in motor neuron degeneration.

Frontiers in neuroscience·2026

Same author

Repeated pattern detection on fabric: A survey and novel approach.

PloS one·2026

Same author

Machine learning models explanations as interpretations of evidence: a theoretical framework of explainability and its implications on high-stakes biomedical decision-making.

BMC medical research methodology·2025

Same author

Quantization-Aware NN Layers with High-throughput FPGA Implementation for Edge AI.

Sensors (Basel, Switzerland)·2023

Same author

Machine learning: A modern approach to pediatric asthma.

Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology·2022

Same author

An Accurate and Robust Artificial Marker Based on Cyclic Codes.

IEEE transactions on pattern analysis and machine intelligence·2016

Search research articles

Related Experiment Video

Updated: Sep 5, 2025

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

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

Published on: December 6, 2024

A survey on text classification: Practical perspectives on the Italian language.

Andrea Gasparetto¹, Alessandro Zangari¹, Matteo Marcuzzo¹

¹Department of Management, Ca' Foscari University, Venice, Italy.

|July 6, 2022

Summary

Deep learning for text classification faces challenges in non-English languages like Italian due to data scarcity and computational costs. This study explores these issues and proposes solutions for linguistically inclusive natural language processing.

More Related Videos

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

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

Published on: September 27, 2024

Lexical Decision Task for Studying Written Word Recognition in Adults with and without Dementia or Mild Cognitive Impairment

Lexical Decision Task for Studying Written Word Recognition in Adults with and without Dementia or Mild Cognitive Impairment

Published on: June 25, 2019

Related Experiment Videos

Last Updated: Sep 5, 2025

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

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

Published on: December 6, 2024

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

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

Published on: September 27, 2024

Lexical Decision Task for Studying Written Word Recognition in Adults with and without Dementia or Mild Cognitive Impairment

Lexical Decision Task for Studying Written Word Recognition in Adults with and without Dementia or Mild Cognitive Impairment

Published on: June 25, 2019

Area of Science:

Natural Language Processing
Computational Linguistics
Machine Learning

Background:

Deep learning has revolutionized text classification, primarily in English.
Limited resources and linguistic complexities hinder adoption in other languages.
Italian language text classification lacks extensive research and benchmarked datasets.

Purpose of the Study:

To survey challenges in applying modern text classification to non-English languages, focusing on Italian.
To highlight issues of dataset scarcity and computational expense.
To propose a linguistically inclusive approach to text classification.

Main Methods:

Comparative analysis of dataset availability for Italian and French.
Application of representative text classification methods to custom multilabel datasets.
Datasets created in Italian, French, and English for practical scenario simulation.

Main Results:

Identified significant challenges in Italian text classification, including data scarcity.
Demonstrated the impact of linguistic variations on model performance.
Compared computational costs of modern approaches across languages.

Conclusions:

Addressing data scarcity and computational challenges is crucial for non-English text classification.
Further research is needed for linguistically inclusive and equitable NLP development.
Future work should focus on creating diverse datasets and efficient models for under-resourced languages.