How do I choose the right embedding technique for my project?

How do I choose the right embedding technique for my project?

Choosing the right embedding technique depends on your data type and the specific task. What kind of data are you working with?

I have a lot of text data for a sentiment analysis project.

For text data, techniques like Word2Vec, GloVe, or BERT are popular. Have you considered the size of your dataset?

I have a medium-sized dataset. Would BERT be too heavy for that?

BERT can be resource-intensive, but it often provides better results for sentiment analysis. You might also try DistilBERT for a lighter option.

That makes sense! What about using embeddings for images?

For images, techniques like CNN-based embeddings or using pre-trained models like ResNet can be effective. What’s your goal with the images?