license: bigscience-openrail-m
pipeline_tag: text-classification
widget:
- example_title: Commercial
text: custom sports jerseys
- example_title: Non-Commercial
text: health tips
- example_title: Informational
text: is cycling healthy
- example_title: Navigational
text: owayo login page
- example_title: Transactional
text: buy custom sport jerseys
- example_title: Commercial Investigation
text: owayo custom jerseys reviews
- example_title: Local
text: cycling shop in brisbane
- example_title: Entertainment
text: funny cycling videos
Multi-label binary sequence classification model developed by Dejan Marketing.
The model is designed to be deployed in an automated pipeline capable of classifying search query intent for thousands (or even millions) of search queries from common data sources such as Google Search Console, SEMRush, Ahrefs, Moz, Majestic and Google Ads.
This is a demo model which may occassionally misclasify some queries. In a typical commercial project, a larger model is deployed for the task, and in special cases, a domain-specific model is developed for the client.
Engage Our Team
Interested in using this in an automated pipeline for bulk query processing?
Please book an appointment to discuss your needs.
Base Model
albert/albert-xxlarge-v2
Output
A list of binary classes (0,1) for 10 classification labels.
Labels
LABEL_0: 'Commercial'
LABEL_1: 'Non-Commercial'
LABEL_2: 'Branded' # Needs-further fine-tuning.
LABEL_3: 'Non-Branded' # Needs-further fine-tuning.
LABEL_4: 'Informational'
LABEL_5: 'Navigational'
LABEL_6: 'Transactional'
LABEL_7: 'Commercial Investigation'
LABEL_8: 'Local'
LABEL_9: 'Entertainment'