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A deep, LSTM-based part of speech tagger and sentiment analyser using character embeddings instead of words. Compatible with Theano and TensorFlow. Optimized for Twitter.

Home Page: http://dracula.sentimentron.co.uk

License: Other

Python 99.22% Shell 0.78%

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dracula's Issues

Use of different set of tweets

Hey,

I have a a few basic question: How do I tag my own set of tweets?

With what parser do I have to parse the data?

And how do I train the model on my own dataset?

Any help is much appreciated!

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