Category : NLP Programming

Word embeddings, another popular AI-powered semantic analysis technique, involve representing words as high-dimensional vectors in a continuous space. This allows for the quantification of semantic relationships between words, with similar words occupying nearby positions in the vector space. Word embeddings can be generated using unsupervised machine learning algorithms, such as Word2Vec or GloVe, which learn […]

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