Multi label classification


Currently am working on multi-label text planning to use word embedding using spacy and train the model .I have very less data points(300,8) and has upto 7 labels to classify.will the classification model be accurate if i go ahead and train with such less data instances?


Hi @rkpatanjali

You can surely go ahead and use word embeddings to create features for your dataset. However, it is difficult to tell how well your model will perform as you haven’t shared enough details about your project.

It would be better if you can share more about the data and how did you try to solve this task as it would help us to better understand the problem.