{"package": "w2vembeddings", "summary": "This package is main for translate word into vector for nlp embedding. maybe chinese maybe english, any language you want to use is ok.  This is main for those who will use word2vec in local from txt\u2026", "pypi_url": "https://pypi.org/project/w2vembeddings", "piwheels_url": "https://www.piwheels.org/project/w2vembeddings", "releases": {"0.1.2": {"released": "2019-01-01 09:12:40", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"w2vembeddings-0.1.2-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/w2vembeddings/w2vembeddings-0.1.2-py3-none-any.whl", "filehash": "d770091cf3b3a3f2bb1bb2ef2d3885df0b00775d203c549ea5ab21f1415524e0", "filesize": 5989, "builder_abi": "cp34m", "file_abi_tag": "none", "platform": "any", "requires_python": "", "apt_dependencies": [], "pip_dependencies": ["numpy", "requests", "tqdm"]}}}}}