Real-world applications of text data labeling

Text data labeling or classification is widely used across various industries and applications to extract valuable information, automate processes, and improve decision-making. Here are some real-world examples across different use cases:

• Customer support ticket classification:
  • Use case: Companies receive a large volume of customer support tickets.
  • Application: Automated classification of support tickets into categories such as Billing, Technical Support, and Product Inquiry. This helps prioritize and route tickets to the right teams.
• Spam email filtering:
  • Use case: Sorting emails into spam and non-spam categories.
  • Application: Email providers use text classification to identify and filter out unwanted emails, providing users with a cleaner inbox and reducing the risk of phishing attacks.
• Sentiment analysis in social media:
  • Use case: Analyzing social media comments and posts.
  • Application: Brands use sentiment analysis to gauge...