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CS640-Sentiment Analysis Solved


1.    Pre-process and clean the data. Remove HTTP links and usernames.

2.    Train two models for classification

a.    Fine-tune a pre-trained BERT model for sentiment analysis. You will use the BERT model provided by the HuggingFace library and add additional layers for classification.

b.    Train a Naive Bayes Classifier using CountVectorizer

You can not use a model that is already trained on Twitter data or has inbuilt classification layers. The goal of the assignment is to familiarize yourself with the process of extending pre-trained models for your downstream task.


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