Augmentating Textual Data Using NLP Libraries.
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Updated
Feb 24, 2022 - Jupyter Notebook
Augmentating Textual Data Using NLP Libraries.
This project provides a comprehensive analysis of tweet sentiment during the COVID-19 pandemic using Natural Language Processing (NLP) techniques. The dataset is classified into five sentiment classes, and thorough data exploration and preprocessing techniques are applied to handle imbalances. ML & DL models utilised.
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