Project demonstrates how to leverage deep learning techniques, recurrent neural networks (RNNs) or transformers, for analyzing text sentiment. The guide covers data preprocessing, model building, training, and evaluation of sentiment analysis models. It provides a practical implementation for detecting positive, negative, or neutral sentiments.
natural-language-processing sentiment-classification text-preprocessing deep-learning-sentiment-analysis neural-networks-for-sentiment-analysis rnn-sentiment-model transformers-for-nlp model-evaluation-techniques
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Updated
Feb 13, 2025 - Jupyter Notebook