File size: 2,213 Bytes
7a78599
 
a092a1b
 
 
5548636
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
7a78599
a092a1b
 
4ca7018
 
04bd037
4ca7018
 
 
c93da66
4ca7018
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
a092a1b
5548636
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
---
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](https://dejanmarketing.com/).

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](https://dejanmarketing.com/conference/) 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'

# 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/)