Skip to main content

Easy generation of semantic vectors from a corpus in Terminal

Project description

easyw2v enables to generate word semantic vectors from a corpus simply in Terminal.

Installation

pip install --user easyw2v

Authors and Contributers

easyw2v is being developed and maintained by Motoki Saito.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

easyw2v-0.0.0-py3-none-any.whl (4.3 kB view details)

Uploaded Python 3

File details

Details for the file easyw2v-0.0.0-py3-none-any.whl.

File metadata

  • Download URL: easyw2v-0.0.0-py3-none-any.whl
  • Upload date:
  • Size: 4.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.6.0.post20200814 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.8.5

File hashes

Hashes for easyw2v-0.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 05a11208fba2b3c8930ff1e2ba3322149d2aa976096e6835242966c94b2c52f7
MD5 796584aa601dfc135e4d202f219b2c47
BLAKE2b-256 530a8b2f11dd71b2a6c095723a38527bf227387b49dadcd03e19cda83a59722a

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page