Models in Action

Our Sentiment Analysis project utilizes Natural Language Processing (NLP) techniques to determine the sentiment of Twitter posts. By training on a dataset of tweets, the model can predict whether a given sentence has a positive, negative, or neutral sentiment.

Please note that the accuracy of the current model on the training set is 86% and on the test set it is at 67%. The model is being tuned to increase the accuracy.

Please key in the Twitter( l!ke:) ) text below to predict the sentiment