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Word Embeddings in NLP and its Applications

Mots Croisés

Word Embeddings in NLP and its Applications

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Mots Croisés

Word Embeddings in NLP and its ApplicationsVersion en ligne

Word Embeddings in NLP and its Applications

par Lorena Hd
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Is a key AI method that bridges the human understanding of language to that of a machine and is essential to solving many NLP problems.

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Adaptation is a technique that enables MachineLearning and Transfer Learning models to map nichedatasets, all written in the same language but linguisticallydifferent, to adapt to specific contexts or domains.

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Are distributedrepresentations of text in an n-dimensionalspace, such as Word2Vec, that bridge human understanding of language to machineunderstanding.

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Involves using machine learning and word embeddings like Word2Vec to gain insights from customers' comments or reviews.

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In this system, Word2Vec interprets a user'slistening queue as a sentence, considering each song as aword.

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Word2Vec can be used to get actionable metrics from thousands of customers reviews.

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General-purpose datasets often benefit from the use of these pre-trained word embeddings, the representations may not always transfer well to specialized domains.

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High-level programming language, known for its clear and easy-to-learn syntax. It is used in web development, data analysis, artificial intelligence and more.

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Online and collaborative encyclopedia, accessible free of charge.

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Field of computer science dealing with the interaction between computers and human languages.

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