RubixML / Sentiment
A feed-forward neural network for text sentiment classification trained on 25,000 movie reviews.
Why this job: topics: tutorial
What it does
This is a multilayer feed forward neural network for text sentiment classification trained on 25,000 movie reviews from the IMDB movie reviews website. The dataset also provides another 25,000 samples which we use after training to test the model. This example project demonstrates text feature representation and deep learning in Rubix ML using a neural network classifier called a Multilayer Perceptron.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 28 days ago
- Stars
- 119
- On GitHub
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest tag
- V10
- Released 28 days ago
- Built with
- PHP
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 75% closed
- 2 still open
- Pull requests
- 3 merged
- 0 waiting
- Releases
- 10
- 2 in the last year
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- PHP 100%
Topics
- sentiment-analysis
- sentiment-classification
- neural-network
- natural-language-processing
- machine-learning
- text-classification
- deep-learning
- tf-idf
- tutorial
- example-project
- imdb
- dataset
Project record
- JobLists and guides
- StatusListed
- Commits68
- Forks13
- Watching2
- Stars in 28 days0
- CreatedDec 9, 2018
- First seen by usNov 7, 2026
- CheckedNov 8, 2026