Cluster similar words using word2vec

Cluster similar words using word2vec

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Cluster similar words using word2vec
Tag : development , By : jaset
Date : January 12 2021, 09:11 PM

hop of those help? I have various restaurant labels with me and i have some words that are unrelated to restaurants as well. like below: , Word2Vec could help with this, but key factors to consider are:

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Python: clustering similar words based on word2vec

Tag : python , By : Andrew Mattie
Date : March 29 2020, 07:55 AM
Does that help No, not really. For reference, common word2vec models which are trained on wikipedia (in english) consists around 3 billion words. You can use KNN (or something similar). Gensim has the most_similar function to get the closest words. Using a dimensional reduction (like PCA or tsne) you can get yourself a nice cluster. (Not sure if gensim has tsne module, but sklearn has, so you can use it)
btw you're referring to some image, but it's not available.

Use Word2vec to determine which two words in a group of words is most similar

Tag : python , By : FriendL
Date : March 29 2020, 07:55 AM
hope this fix your issue @rylan-feldspar's answer is generally the correct approach and will work, but you could do this a bit more compactly using standard Python libraries/idioms, especially itertools, a list-comprehension, and sorting functions.
For example, first use combinations() from itertools to generate all pairs of your candidate words:
from itertools import combinations
candidate_words = ['architect', 'nurse', 'surgeon', 'grandmother', 'dad']
all_pairs = combinations(candidate_words, 2)
scored_pairs = [(w2v_model.wv.similarity(p[0], p[1]), p)
                for p in all_pairs]
sorted_pairs = sorted(scored_pairs, reverse=True)
print(sorted_pairs[0])  # first item is most-similar pair
print(sorted([(w2v_model.wv.similarity(p[0], p[1]), p) 
              for p in combinations(candidate_words, 2)
             ], reverse=True)[0])
print(max(combinations(candidate_words, 2),
          key=lambda p:w2v_model.wv.similarity(p[0], p[1])))

Is there any Polish implementation for similar words in word2vec?

Tag : java , By : Jaya
Date : March 29 2020, 07:55 AM

Is it possible to achieve something similar to word2vec using a graphdb?

Tag : development , By : esimran
Date : March 29 2020, 07:55 AM

How to train word2vec model efficiently in the spark cluster environment?

Tag : apache-spark , By : 3NZ0
Date : March 29 2020, 07:55 AM
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