'how to find closeness between two keras pad_sequences?
I am writing a small proof of concept where I turn a catalog into a json that has a url, and a label that explains the web page. I read this json in python, tokenize it and create a pad_sequences.
I need to then compare some free flow texts to find which index of the pad_sequences has the most words from the free flow text.
I am generating a pad_sequences() from the text too but not sure if I can somehow compare the two sequences for closeness?
Please help.
Solution 1:[1]
You can use cosine similarity or euclidean distance to compare two vectors.
https://www.tensorflow.org/api_docs/python/tf/keras/metrics/CosineSimilarity
For sequences you can make embedding to same lenght vector at first.
Sources
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Source: Stack Overflow
| Solution | Source |
|---|---|
| Solution 1 | Peter Pirog |