given the tweet the task is to select a part of the tweet which conveys the sentiment of the tweet as neutral, positive or negative.
1. Explore basic of NLP
2. Explore the dataset and analyse the problem statement
3. Explore and understand the public notebooks on kaggle and then select the model which suits the team well
4. Make some changes to the model and then evaluate the model with those changes
5. Try other variations of the language model
6. Understand the innner workings so that suitable modifications can be made to the head of the model to increase our score
Steps 1 to 4 in above course of action have been completed. Currently we are on the 5th step.
Exploring other variations of BERT and other language models such as XLNet and trying to apply them to the current problem statement