most citedTweet2Vec: Learning Tweet Embeddings Using Character-level CNN-LSTM Encoder-Decoder

134 citations · 134 across the 1 of their papers we have counts for

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cs.CL2016★ 134 cited

Tweet2Vec: Learning Tweet Embeddings Using Character-level CNN-LSTM Encoder-Decoder

Soroush Vosoughi, Prashanth Vijayaraghavan, Deb Roy

We present Tweet2Vec, a novel method for generating general-purpose vector representation of tweets. The model learns tweet embeddings using character-level CNN-LSTM encoder-decode…