Manual Text Item Classification Task

A Manual Text Item Classification Task is a text item classification task that is a manual classification task.

• Context:
  • It can (typically) involve Human Judgment and Text Content Analysis.
  • It can (often) require Classification Guidelines and Annotation Protocol.
  • ...
  • It can range from being a Simple Text Classification (e.g., binary labels) to being a Complex Text Classification (e.g., multiple categories).
  • It can range from being a Single-Annotator Classification to being a Multi-Annotator Classification.
  • ...
  • It can be part of a Human Annotation Workflow.
  • It can require Quality Control Measures to ensure consistency.
  • It can involve Inter-Annotator Agreement assessment.
  • ...
• Example(s):
  • Manual Text Item Sentiment Classifications, which assess emotional content.
  • Social Media Content Classifications, such as labeling tweets with categories.
  • Text Quality Classifications, which assess content value.
  • Content Moderation Tasks, which identify inappropriate content.
  • Manual Document Categorizations, which organize text by topic.
  • ...
• Counter-Example(s):
  • Automated Text Classification Tasks, which use algorithms.
  • Manual Image Classification Tasks, which work with visual content.
  • Manual Audio Classification Tasks, which categorize sound.
  • Text Generation Tasks, which create content.
• See: Automated Text Item Classification Task, Human Text Annotation, Classification System.

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