glovpy 0.1.0

Interface for using the canonical C GloVe embedding implementation in Python

glovpy

Package for interfacing Stanford's C GloVe implementation from Python.

Installation

Install glovpy from PyPI:

pip install glovpy

Additionally the first time you import glopy it will build GloVe from scratch on your system.

Requirements

We highly recommend that you use a Unix-based system, preferably a variant of Debian. The package needs git, make and a C compiler (clang or gcc) installed.

Example Usage

Here's a quick example of how to train GloVe on 20newsgroups using Gensim's tokenizer.

from gensim.utils import tokenize
from sklearn.datasets import fetch_20newsgroups

from glovpy import GloVe

texts = fetch_20newsgroups().data
corpus = [list(tokenize(text, lowercase=True, deacc=True)) for text in texts]

model = GloVe(vector_size=25)
model.train(corpus)

for word, similarity in model.wv.most_similar("god"):
    print(f"{word}, sim: {similarity}")

word	similarity
existence	0.9156746864
jesus	0.8746870756
lord	0.8555182219
christ	0.8517201543
bless	0.8298447728
faith	0.8237065077
saying	0.8204566240
therefore	0.8177698255
desires	0.8094088435
telling	0.8083973527