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Project requirement Build a causal NLP model in which I have text in one column and its corresponding label in another column. I am trying to figure out the cause of

the label within the model. For example, I camped in a forest and was bitten by a mosquito and the label is Malaria. So, the cause of the label Malaria is the mosquito. Use any data set available Python or R Instructions from student You can you use pre trained model The requirement is we have a text column and a label column i want to get a causation out of the text like what was the reason of a crash happening at the the intersection Provide model with code and the detailed comments and a frequency plot of causation and a causality diagram this can help to be more clear https://arxiv.org/abs/2012.05453 Example It will be like let say you have label malaria and you have text describing being bitten by a mosquito so the cause will be bitten by a mosquito. You have a text describing a crash at intersection where label is intersection and the text is being describe the vehicle did not stop at red light so that is the cause

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