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online natural language processing with word vectors

Install git clone https://github.com/overlap-ai/words2map.git cd words2map ./install.sh Derive new vectors for words by searching online from words2map import * model = load_model() words = load_words("passions

Install

git clone https://github.com/overlap-ai/words2map.git
cd words2map
./install.sh

Derive new vectors for words by searching online

from words2map import *
model = load_model()
words = load_words("passions.csv")
vectors = [derive_vector(word, model) for word in words]
save_derived_vectors(words, vectors, "passions.txt")

Analyze derived word vectors

from words2map import *
from pprint import pprint
model = load_derived_vectors("passions.txt")
pprint(k_nearest_neighbors(model=model, k=10, word="Data_Scientists"))

Visualize clusters of vectors

from words2map import *
model = load_derived_vectors("passions.txt")
words = [word for word in model.vocab]
vectors = [model[word] for word in words]
vectors_in_2D = reduce_dimensionality(vectors)
generate_clusters(words, vectors_in_2D)

Information
Category: Python / Natural Language Processing
Watchers: 22
Star: 311
Fork: 36
Last update: Jan 8, 2021

Contents
    Resource links
    http://overlap.ai
    https://github.com/legel/words2map
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