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Wikipedia2Vec is an open-source tool for learning embeddings of words and entities from Wikipedia, making it easier to analyze and use Wikipedia data.
Learn and use Wikipedia-based word embeddings
Wikipedia2Vec is a tool designed to help you learn and use word and entity embeddings based on Wikipedia articles. It’s especially useful if you want to analyze Wikipedia data or create applications that understand text and knowledge from Wikipedia.
With this open-source project, you can easily train models that capture the meaning of words and concepts as they appear in Wikipedia. Whether you’re a researcher, developer, or just interested in natural language processing, Wikipedia2Vec provides resources and documentation to help you get started.
The site offers straightforward access to code, examples, and guides so you can quickly integrate Wikipedia-based embeddings into your own projects. It’s a handy resource for anyone looking to enhance language understanding in their applications using rich Wikipedia data.
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