Project information

• Category: AI, Python
• Model Type: Sequential
• Project Date: 01 March, 2024
• Project Link: Github

Created a model to predict emotional sentiment in a Tweet. Achieved an accuracy of 93.49%. Used libraries including Numpy, Wordcloud, Keras, and Tensorflow to build the model. Extensively used Regular Expressions (regex) to filter data and eliminate problematic text.