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An example project using a feed-forward neural network for text sentiment classification trained with 25,000 movie reviews from the IMDB website.

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Hi 👋 I was asking if there is any way to report back if the prediction was wrong or right in a way that the library uses the feedback for...

I'm running a sentiment type training environment with about 400,000 samples. The text is short, at most 255 characters each, but most are much less. I'm running 32G on Linux...

```bash harry@ubuntu-server:~/sentiment$ php74 predict.php Enter some text to analyze: rubixml is great The sentiment is: negative harry@ubuntu-server:~/sentiment$ php74 predict.php Enter some text to analyze: Rubix ML is really great The...

hello, thanks for the great work, can i train on hebrew language and the get predictions based on that training for hebrew texts? cheers