Part of Speech Tagging Demonstration

Enter text:
Really simple song , but very effective . I was hooked ! @KIIARA ♫ http://spoti.fi/1MzG50Z

For best results, Tokenize manual input before running Dracula.

Result:

Random Tweet Visualize Network Activations

Dracula is a deep, LSTM-based sequence tagger which operates on character embeddings. It can (so far) do binary polarity classification and part-of-speech tagging. Using characters means Dracula's models are small enough to run anywhere, including in the browser.

This demonstration uses GATE's bootstrapped training data and 32-size embeddings, with their mostly PTB tagset.

Tokenizer implementation by Myle Ott.

Important disclaimer: I'm not responsible for any tweets shown here, or the contents of any external links or images they contain.

Questions? Feedback? Comments? Send a tweet or email richard<at>sentimentron.co.uk

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