I have a question, what is the difference between this problem and the Multi-label text classification you have done in one of the other videos? I am really asking because I am trying to get the full picture, isn't this only different labels instead of the IMDB dataset movies reviews here it is sentiments?
Great content
I have a question, what is the difference between this problem and the Multi-label text classification you have done in one of the other videos? I am really asking because I am trying to get the full picture, isn't this only different labels instead of the IMDB dataset movies reviews here it is sentiments?
Good video, could you share the code url... Yet to watch it fully
thank you
Why do you use pandas to load the csv file instead of datasets load_dataset? Just curious.
For data analysis. Later it is converted to Dataset for model.
@@KGPTalkie thank you!
The difference between encoding and embedding is not clear from the text description IMHO.
Hey,
Embedding is learned during the training, where as encoding is fix. It is calculated before thetraining
@@KGPTalkie thank you for your quick reply. wow!