read the instructions i want you to use PyTorch to implement sentiment analysis involving an NP task and a neural network plz help me

CST4812 - Natural Language Processing Final Project Project Description: The final project is open ended. You may complete this either as an individual or as a group with up to two total nenbers. The purpose of the projectlis to use PyTorch to indenent any profect involving an N.P task and a neural network. For most tasks. I would prefer that you use some variation of a recurrent neural network or transformers, but I an open to other sorts of architectures if you think something else eakes sense for your project. The task can be something that we have covered, or will cover, in class, but it does not have to be; You should test your inplenentation on a dataset and report the results. You are allowed to create a dataset, but it will be much easier if you find one, Kaggle, for example, has plenty of open-source datasets for MeP problens for you to leverage. Some possible project ideas are: - Neural Machine Translation - Sentiment Analysis - pos tagkine - Text Generation - Text Sumarization - cuestion-trowidritisystens Feel free to choose a task fron the above 1ist, or explore something not nentioned. You noy notice that some of these tasks reseoble other assignents fron this semester. You ace free to use your past assienients as a resource, but it empect you to submit something new with this project. I do not just want to see a past assiknment resubaitted as your sutaission for this project. When you have completed your project, submit a SHORT writeup (cone to two pages) explaining: - What task aid you work on? - What dataset did you use? - Hoir was the dataset split into trainine, tuning, and testing portions? - What architectures and other variables did you experiment with? - Sumarize the results of the things that were varled. - What erre the setcines soed for the final network? - What were the final results for the test set? Due Date: Monday Dec 15th, 11:59pa EST