Tweet2Vec: Learning Tweet Embeddings Using Character-level CNN-LSTM Encoder-Decoder
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-decoder. We trained our model on 3 million, randomly selected English-language tweets. The model was evaluated using two meth...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Association for Computing Machinery (ACM)
2016
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| Online Access: | http://hdl.handle.net/1721.1/104352 https://orcid.org/0000-0002-2564-8909 https://orcid.org/0000-0002-5826-1591 https://orcid.org/0000-0002-4333-7194 |