adeshpande3/LSTM-Sentiment-Analysis resource

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1007 stars · 422 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A Jupyter notebook tutorial and accompanying training data for performing sentiment analysis with LSTMs in TensorFlow, based on an O'Reilly tutorial. It includes a pre-trained model checkpoint and a notebook for classifying your own text.

Use cases

• learn how to build an LSTM for sentiment analysis in TensorFlow
• classify the sentiment of my own text with a pre-trained LSTM
• follow a step-by-step RNN sentiment analysis tutorial
• understand how LSTMs process text for classification
• get example training data for sentiment analysis

When to choose

• you are learning deep learning NLP concepts and want a guided notebook
• you want a small, self-contained sentiment analysis example with pretrained weights
• you are following the O'Reilly tutorial and need the code and data

When to avoid

• you need a production-ready sentiment analysis service or library
• you need support for modern TensorFlow 2.x out of the box
• you need actively maintained code or recent updates

Facets

learning-resource · maturity abandoned

machine-learning nlp deep-learning machine-learning tutorials python cross-platform sentiment-analysis lstm tensorflow jupyter-notebook rnn tutorial natural-language-processing docker

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