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toolbox for various tasks in the area of vector space models of computational linguistic

Project description

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VSMlibs helps to perform a range of tasks within a framework of vector space models of computational linguistics.

What functionality is included

  • creating word embeddings by counting and neural-based methods, including sub-word-level models
  • importing and exporting from a banch of popular formats of word embeddings and providing unified access to word-vectors
  • perfroming simple tasks like estimating word similarity
  • visualising embeddings

How do I get set up?

  • pip3 install vsmlib for stable version
  • pip3 install git+https://github.com/undertherain/vsmlib.git for latest dev version
  • Python 3.5 or later is required

Contribution guidelines

  • Oh, you are welcome to participate

Who do I talk to?

  • Issue tracker is the way to go

Project details


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0.1.22

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0.1.21

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0.1.20

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0.1.19

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0.1.18

This version
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0.1.17

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0.1.15

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0.1.14

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0.1.13

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0.1.10

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0.1.9

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0.1.8

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0.1.6

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0.1.4

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0.1.3

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0.1.2

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0.1.1

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0.1

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Filename, size & hash SHA256 hash help File type Python version Upload date
vsmlib-0.1.17-py3-none-any.whl (40.7 kB) Copy SHA256 hash SHA256 Wheel py3 Oct 6, 2017

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