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: | English |
| Published: |
Association for Computing Machinery (ACM),
2016-09-20T14:25:48Z.
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| Subjects: | |
| Online Access: | Get fulltext |