Mastering Sentence Transformers For Sentence Similarity – Predictive Hacks

Sentence transformers is a Python framework for state-of-the-art vector representations of sentences. Having the sentences in space we can compute the distance between them and by doing that, we can find the most similar sentences based on their semantic meaning. As an example, let's say that we have these two sentences: The closest sentence is the "Coffee makes mornings better." Even if they don't use the same words, their vector representations will be close to each other. To get the similarity of two sentence vectors, we are using the cosine similarity(1 – cosine distance).