Soft Cosine Similarity features

[Tedo Vrbanec]

What are the features in SCS?

I can see that similarity index is brought by

termsim_index = WordEmbeddingSimilarityIndex(model.wv),

but what is WordEmbeddingSimilarityIndex doing? :)

Thanks...

[Radim Řehůřek]

Hi Tedo,

we have a tutorial for SCM:

https://radimrehurek.com/gensim/auto_examples/tutorials/run_scm.html

HTH,
Radim

[Tedo Vrbanec]

Thanks, Radim, but the explanation is sparce. ;)

Now, as mentioned earlier, we will be using some downloaded pre-trained embeddings. We load these into a Gensim Word2Vec model class and we build a term similarity mextrix using the embeddings.

import gensim.downloader as api model = api.load('word2vec-google-news-300') 

from gensim.similarities import SparseTermSimilarityMatrix, WordEmbeddingSimilarityIndex

termsim_index = WordEmbeddingSimilarityIndex(model) termsim_matrix = SparseTermSimilarityMatrix(termsim_index, dictionary, tfidf)