Finesentence mobile logo
Sign in Login / Register

Labeled Meaning: Definition, Examples, and Translations

๐Ÿท๏ธ
Add to dictionary

labeled

[หˆleษชbld ]

Definitions

Context #1 | Adjective

data classification

Labeled refers to items that have been tagged or identified with a specific label or category. In various fields such as data analysis and machine learning, labeled data is crucial as it helps algorithms understand and learn from the examples provided. A labeled dataset usually contains input-output pairs that allow models to make predictions or classifications. The process of labeling can be manual or automated, depending on the context and requirements of the study or application.

Synonyms

classified, marked, tagged.

Examples of usage

  • The researchers used a labeled dataset to train their model.
  • Labeled images help in teaching the algorithm to recognize different objects.
  • In supervised learning, labeled data is essential for accurate predictions.
Context #2 | Verb

data annotation

Labeled is the past tense of the verb 'label', which means to assign a label to something. This action is often performed to indicate what a particular item or piece of information represents or to categorize it for easier understanding. Labeling can be used in various contexts, including organizing files, providing information on products, or categorizing data for research purposes.

Synonyms

designated, named, tagged.

Examples of usage

  • She labeled all the folders for better organization.
  • He labeled the boxes before the move.
  • They labeled the data to prepare for the analysis.

Translations

To see the translation, please select a language from the options available.

Interesting Facts

Science

  • Labeling in scientific experiments helps in identifying samples, aiding in clarity and accuracy.
  • In biology, labeling is crucial for taxonomy, helping scientists classify and organize living organisms.
  • Chemical compounds often come with labels that indicate the substances present, ensuring safe handling.

Psychology

  • Labels can shape perceptions; for example, people diagnosed with certain labels may be treated differently by society.
  • In social psychology, labeling theory suggests that labels assigned can influence one's identity and behavior.
  • Children often create mental labels for experiences, affecting how they process and react to future situations.

Education

  • Labeling items in classrooms (like books or supplies) can enhance organization and learning for students.
  • Educational strategies often include labeling to help children develop vocabulary and comprehension skills.
  • Visual labels in classrooms support diverse learning styles by providing both written and visual cues.

Pop Culture

  • Labels often feature in music, with artists critiquing how they can restrict creativity and expression.
  • The concept of labeling plays a significant role in the fashion industry, where brand names create identity.
  • Television shows often explore themes of labeling in relationships, such as 'friends' or 'couples,' impacting viewer perceptions.

Origin of 'labeled'

Main points about word origin

  • The word comes from the Latin 'labelum,' meaning a small stream or ribbon that carries information.
  • Early uses of labeling can be traced back to the 14th century, primarily in marketing and trades.
  • In medieval times, labels were often used on books and scrolls to denote ownership or contents.

The word 'labeled' originates from the noun 'label', which itself comes from Middle English 'label', derived from Old French 'label', meaning 'a small cloth or paper tag'. The evolution of its use traces back to the 14th century when labels were primarily used to denote ownership or identification. As language and technology evolved, the concept of labeling expanded beyond physical tags to include classifications in data science and artificial intelligence. By the 20th century, the term had become integral in various fields, including education, marketing, and research, signifying organized categorization and identification, paving the way for its modern usage in labeling data sets in machine learning and analytics.

Word Frequency Rank

At #5,283 in frequency, this word belongs to advanced vocabulary. It's less common than core vocabulary but important for sophisticated expression.