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In this tutorial, Deepali Chandal discusses sentence embedding as a continuation from word embedding. Sentence embedding provides a numerical representation of sentences, similar to how word embedding provides vectors for words. There are two techniques for sentence embedding: Doc2Vec model in the Gensim library and Sent2Vec library. The tutorial will include coding examples using the Doc2Vec model, which is different from Word2Vec model, to generate vectors for sentences.
