Texti.ai
  • Overview
  • Task
    • Text Classification
    • Text Generation
    • AI Co-Pilot
  • Data & Labeling
    • Text Classification
    • Text Generation
    • AI Co-Pilot
  • Fine-tuning
    • Model Selection
    • Hyperparameters
    • Model Fine-tuning
    • Model Evaluation
  • In-Context Learning
    • Model Selection
    • Hyperparameters
    • Evaluation
  • AI Agent
    • Real-Time Feedback-to-Action AI Agent
  • Extras
  • How to Get an OpenAI API Key & Organization ID
  • Automatic Dataset Balancing For Classification Tasks
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  1. Task

Text Classification

Text classification involves assigning predefined categories or labels to text documents.

Here are some real-life business use cases for text classification:

  1. Sentiment Analysis: Classify customer feedback to identify areas for improvement in product or service.

  2. Fraud Detection: Classify the transaction as fraudulent or not based on other features of the text, without explicitly identifying specific entities.

  3. Topic Categorization: Automatically sort customer support tickets based on topic to improve response time and efficiency.

  4. News Article Categorization: Categorize news articles to monitor trends and stay up-to-date with industry developments.

  5. Email Filtering: Identify spam emails to improve email filtering and security.

  6. Resume Screening: Classify job resumes to streamline the recruitment process.

check how to prepare data for Text Classification task.

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Last updated 2 years ago