Classify
Text classification results using
https://ollama.com/
for language
Lithuanian
URL:
https://duolingo.com
Category:
Games
SubCategory:
Online
Language:
Lithuanian
Prevalent audience:
Age:
12-34
Gender:
male
URL:
https://kasvyksta.lt
Category:
Reference
SubCategory:
Maps
Language:
Lithuanian
Prevalent audience:
Age:
25-34
Gender:
male
URL:
https://swedbank.lt
Category:
Finance
SubCategory:
Banking
Language:
Lithuanian
Prevalent audience:
Age:
36-46
Gender:
male
URL:
https://linkin.bio
Category:
Business and Industry
SubCategory:
Marketing and Advertising
Language:
Lithuanian
Prevalent audience:
Age:
25-34
Gender:
female
URL:
https://delfi.lt
Category:
Business and Industry
SubCategory:
Business Services
Language:
Lithuanian
Prevalent audience:
Age:
30-45
Gender:
male