Sentiment analysis study through tweets with TensorFlow
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Updated
Feb 23, 2026 - Jupyter Notebook
Sentiment analysis study through tweets with TensorFlow
Twitter Sentiment Analysis using NLP and Naive Bayes with text preprocessing, feature extraction, and WordCloud visualization.
Machine Learning Case Studies implemented in Python. Includes 5 Jupyter notebooks covering real-world datasets and models: regression, classification, feature engineering, and model evaluation.
Banking feedback sentiment analysis using Python, TextBlob, Pandas, Matplotlib, and WordCloud.
Fake News Detection Using Recurrent Neural Networks (RNNs) & Long Short Term Memory (LSTM).
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