Feat2vec
Code of NAACL paper "Unsupervised Multi-Domain Adaptation with Feature Embeddings"
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Datastories Semeval2017 Task4 | 171 | 6 years ago | 8 | mit | Python | |||||
| Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis". | ||||||||||
| Feat2vec | 32 | 9 years ago | Python | |||||||
| Code of NAACL paper "Unsupervised Multi-Domain Adaptation with Feature Embeddings" | ||||||||||
| Vsl | 31 | 6 years ago | Python | |||||||
| Code for "Variational Sequential Labelers for Semi-Supervised Learning" (EMNLP 2018) | ||||||||||
| Twembeddings | 26 | 5 months ago | 1 | June 17, 2022 | 3 | mit | Python | |||
| Sentence embeddings for unsupervised event detection in the Twitter stream: study on English and French corpora | ||||||||||
| Twitter Sentiment Analysis | 25 | 7 years ago | 3 | Python | ||||||
| Sentiment Analysis on twitter using Keras / TensorFlow / GloVe | ||||||||||
| Sentimentanalysis | 22 | 5 years ago | other | Python | ||||||
| Sentiment Analysis: Deep Bi-LSTM+attention model | ||||||||||
| Twitterembeddings | 21 | 5 years ago | apache-2.0 | Python | ||||||
| Twitter word embeddings generated using Word2Vec and FastText. | ||||||||||
| Datastories Semeval2017 Task6 | 19 | 7 years ago | 1 | Python | ||||||
| Deep-learning model presented in "DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison". | ||||||||||
| Crossembeddings Twitter | 11 | 4 years ago | 1 | |||||||
| Nlp_resources | 10 | 5 years ago | ||||||||
| Resources related to NLP | ||||||||||
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Python
Twitter
Embeddings
Domain Adaptation