sebischair/lbl2vec: Lbl2Vec learns jointly embedded label, document and word vectors to retrieve documents with predefined topics from an unlabeled document corpus.
Category: nlp
Language: Python
Topics: document-embeddings, label-embeddings, machine-learning, natural-language-processing, nlp, text-classification, unsupervised-classification, unsupervised-document-retrieval, word-embeddings
Homepage: https://wwwmatthes.in.tum.de/pages/naimi84squl1/Lbl2Vec-An-Embedding-based-Approach-for-Unsupervised-Document-Retrieval-on-Predefined-Topics