Text classification results using https://ollama.com/ for category Science subcategory Engineering and Technology:
URL: https://towardsdatascience.com
Category: Science
SubCategory: Engineering and Technology
Language: English
Prevalent audience:
Age: 25-34
Gender: male

URL: https://mdpi.com
Category: Science
SubCategory: Engineering and Technology
Language: English
Prevalent audience:
Age: 25-34
Gender: male

URL: https://semanticscholar.org
Category: Science
SubCategory: Engineering and Technology
Language: English
Prevalent audience:
Age: 25-34
Gender: male

URL: https://dergipark.org.tr
Category: Science
SubCategory: Engineering and Technology
Language: Turkish
Prevalent audience:
Age: 25-34
Gender: male

URL: https://scimagojr.com
Category: Science
SubCategory: Engineering and Technology
Language: English
Prevalent audience:
Age: 25-34
Gender: male

URL: https://interestingengineering.com
Category: Science
SubCategory: Engineering and Technology
Language: English
Prevalent audience:
Age: 25-34
Gender: male

URL: https://popularmechanics.com
Category: Science
SubCategory: Engineering and Technology
Language: English
Prevalent audience:
Age: 25-34
Gender: male