roopalgarg/lstm-tensorflow

Implementation of Long Short Term Memory networks in Tensorflow

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Experimental

This project helps data scientists or machine learning engineers understand and implement sentiment analysis. It takes text data, processes it through a Long Short-Term Memory (LSTM) network, and outputs predictions on the sentiment expressed in the text. This is designed for those who want to build and customize their own natural language processing models.

No commits in the last 6 months.

Use this if you are a machine learning engineer looking to implement and understand the inner workings of an LSTM for sentiment analysis.

Not ideal if you're a business user looking for a pre-built tool to analyze sentiment without needing to engage with the underlying code.

Sentiment Analysis Natural Language Processing Machine Learning Deep Learning Text Classification
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 8 / 25
Community 15 / 25

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Last pushed

Mar 11, 2017

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