Text similarity with sentence embeddings - Data Science Stack Exchange

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I'm trying to calculate similarity between texts with various lengths. My current approach is following: Using Universal Sentence Encoder, I convert text to a set of vectors. I average these vectors to create the final feature vector. I compare feature vectors using cosine similarity.


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