Multiclass classification on the twitter emotion dataset
چهار سال پیش منتشر شده
تعداد بازدید: 329
کد پروژه: 327857
شرح پروژه
In this problem, you're going to utilize huggingface transformer models for Multiclass classification on the twitter emotion dataset. The dataset is available on Kaggle. The task is defined as predicting the emotion from a user's twit that is written on the Twitter platform.
Considerations
You should only use the transformers library for model implementation (not any other libraries, e.g., simpletransformers, etc).
You have to use the Pytorch framework for your implementation
Show sentence length distribution like 3 ) Example of sentence Length distribution representation by histogram , then use this information for encoding your data. (note that this is Not the distribution for your dataset!).
Utilize four different transformer models: Bert, Roberta, XLnet, and Distilbert.
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