LF
LSTMs for deep neural sentiment analysis, running in your browser
LSTMs for deep neural sentiment analysis, running in your browser launched on July 25, 2016 with 9 votes, #1,710 of 3,671 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 10 years on.
What it does
For best results, Tokenize manual input before running Dracula. Dracula is a deep, LSTM-based sequence tagger which operates on character embeddings. It can (so far) attempt to 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. The Sentiment140 training data for this demonstration is a set of tweets stripped of emoticons. If the result comes back positive, then the addition of an emoticon like :D or :) shouldn't change the overall sentiment of tweet. Important disclaimer: I'm not responsible for any tweets shown here, the contents of any external links or images or the…from dracula.sentimentron.co.uk
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- RTReal-Time Twitter Sentiment Analyzer2015 · twitter.vishwajeetv.com · ▲9




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