---
license: bigscience-openrail-m
pipeline_tag: text-classification

widget:
  - example_title: "Commercial Query"
    text: "online insurance quotes"
  - example_title: "Local Query"
    text: "pie shop in brisbane"
labels:
  - LABEL_0: 'Commercial - Queries related to businesses and services'
  - LABEL_1: 'Non-Commercial - General queries not related to businesses'
  - LABEL_2: 'Branded - Queries that include specific brand names (Needs fine-tuning)'
  - LABEL_3: 'Non-Branded - General queries without brand names (Needs fine-tuning)'
  - LABEL_4: 'Informational - Queries seeking information'
  - LABEL_5: 'Navigational - Queries intended to find a particular website or page'
  - LABEL_6: 'Transactional - Queries that indicate an intent to complete a transaction or action'
  - LABEL_7: 'Commercial Investigation - Queries for researching products or services'
  - LABEL_8: 'Local - Queries looking for local businesses or services'
  - LABEL_9: 'Entertainment - Queries related to entertainment and leisure activities'

---
Multi-label binary sequence classification model developed by [Dejan Marketing](https://dejanmarketing.com/).

This model is an albert/albert-base-v2 fine-tune trained to return an array of values for 10 classification labels.

# Labels

    LABEL_0: 'Commercial'
    LABEL_1: 'Non-Commercial'
    LABEL_2: 'Branded' # Unreliable. Needs-further fine-tuning.
    LABEL_3: 'Non-Branded' # Unreliable. Needs-further fine-tuning.
    LABEL_4: 'Informational'
    LABEL_5: 'Navigational'
    LABEL_6: 'Transactional'
    LABEL_7: 'Commercial Investigation'
    LABEL_8: 'Local'
    LABEL_9: 'Entertainment'

# Sources of Training Data

## Owayo:
- [USA](https://www.owayo.com/), [Australia](https://www.owayo.com.au/), [Germany](https://www.owayo.de/), [UK](https://www.owayo.co.uk/), [Germany](https://www.owayo.ca/)

## Others:
- [Leonardo AI](https://leonardo.ai/), [The Wests Group](https://mywests.com.au/), [Zendesk](https://www.zendesk.com/)