{"repo":"explosion/sense2vec","free":true,"listed":false,"github":"https://github.com/explosion/sense2vec","clone":"git clone https://github.com/explosion/sense2vec.git","description":"🦆 Contextually-keyed word vectors","language":"Python","stars":1679,"topics":["spacy","nlp","natural-language-processing","word2vec","python","sense2vec","gensim","gensim-word2vec","machine-learning"],"license":"MIT","category":"machine-learning","readme_excerpt":"sense2vec: Contextually-keyed word vectors sense2vec (Trask et. al, 2015) is a nice twist on word2vec that lets you learn more interesting and detailed word vectors. This library is a simple Python implementation for loading, querying and training sense2vec models. For more details, check out our blog post. To explore the semantic similarities across all Reddit comments of 2015 and 2019, see the interactive demo. 🦆 Version 2.0 (for spaCy v3) out now! Read the release notes here. ✨ Features - Query vectors for multi-word phrases based on part-of-speech tags and entity labels. - spaCy pipeline component and extension attributes . - Fully serializable so you can easily ship your sense2vec vectors with your spaCy model packages. - Optional caching of nearest neighbors for super fast \"most similar\" queries. - Train your own vectors using a pretrained spaCy model, raw text and GloVe or Word2Vec via fastText (details). - Prodigy annotation recipes for evaluating models, creating lists of similar multi-word phrases and converting them to match patterns, e.g. for rule-based NER or to bootstrap NER annotation (details & examples). 🚀 Quickstart Standalone usage Usage as a spaCy pipeline component ⚠️ Note that this example describes usage with spaCy v3. For usage with spaCy v2, download sense2vec==1.0.3 and check out the v1.x branch of this repo. Interactive demos To try out our pretrained vectors trained on Reddit comments, check out the interactive sense2vec demo. This repo also incl","default_branch":null,"files":null,"tree":[],"storefront":"/r/explosion","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/explosion/sense2vec/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}