Using torchtext for a multiclass classification problem

nlp
1

I have a dataset which is in csv format having text as first field and class label as second field . The number of classes are 6 . How can i create a field object for this. Example code tutorials are helpful

2

The pipeline to load dataset is very similar like this.

For the multiclass classification problem, there are different models for that. You may take a look at the Bag-Of-Word model here

3

for Mutli classification:
LABEL = data.LabelField(), for multi classification, we donot need to set dtype as pytorch expects it be as numericalized long tensors

IMO, best place to start : https://github.com/bentrevett/pytorch-sentiment-analysis

Happy learning