Lbl2vec
Lbl2Vec learns jointly embedded label, document and word vectors to retrieve documents with predefined topics from an unlabeled document corpus.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Kate | 130 | 4 years ago | 4 | bsd-3-clause | Python | |||||
| Code & data accompanying the KDD 2017 paper "KATE: K-Competitive Autoencoder for Text" | ||||||||||
| Spherical Text Embedding | 121 | 4 years ago | 1 | apache-2.0 | C | |||||
| [NeurIPS 2019] Spherical Text Embedding | ||||||||||
| S Wmd | 80 | 6 years ago | 1 | Matlab | ||||||
| Code for Supervised Word Mover's Distance (SWMD) | ||||||||||
| Average Word2vec | 52 | 3 years ago | Jupyter Notebook | |||||||
| 🔤 Calculate average word embeddings (word2vec) from documents for transfer learning | ||||||||||
| Word Embeddings And Document Vectors | 25 | 5 years ago | 1 | Python | ||||||
| An evaluation of word-embeddings for classification | ||||||||||
| Cr5 | 18 | 5 years ago | Jupyter Notebook | |||||||
| Code and data for the WSDM '19 paper "Crosslingual Document Embedding as Reduced-Rank Ridge Regression (Cr5)" | ||||||||||
| Neural_temporality_adaptation | 9 | 3 years ago | apache-2.0 | Python | ||||||
| Source codes for our paper "Neural Temporality Adaptation for Document Classification: Diachronic Word Embeddings and Domain Adaptation Models" at ACL 2019. | ||||||||||
| Wedtm | 6 | 6 years ago | 2 | mit | Matlab | |||||
| The code for the paper "Inter and Intra Topic Structure Learning with Word Embeddings" in ICML 2018. | ||||||||||
| Sade | 5 | 4 years ago | mit | Java | ||||||
| Code for paper: Software clusterings with vector semantics and the call graph | ||||||||||
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Python
Machine Learning
Natural Language Processing
Text Classification
Word Embeddings