Difference between torchtext, pytorch-nlp and allennlp

I need to work with some text datasets and found that these three libraries all provide utilities for the same, however I’m unable to figure out what the difference between them is and if any one is better than the others. I read someplace that AllenNLP is geared towards research and offers pretrained models but that’s about it.

Does anyone know if it makes a difference? If so, what is it?


They all have their strengths and weaknesses because they have different things they focus on. One is not “better” per se than the others. It just depends on what you want to do. We cannot make this decision for you because it depends on your use case. I recommend that you simply read into the functionality of all of them and then see which best matches your requirements.