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One of the reasons that Natural Language Processing is a difficult problem to solve is the fact that, unlike human beings, computers can only understand numbers. We have to represent words in a numeric format that is understandable by the computers. Word embedding refers to the numeric representations of words.
Several word embedding approaches currently exist and all of them have their pros and cons. We will discuss three of them here:
Bag of Words
TF-IDF Scheme
Word2Vec
The text was updated successfully, but these errors were encountered:
One of the reasons that Natural Language Processing is a difficult problem to solve is the fact that, unlike human beings, computers can only understand numbers. We have to represent words in a numeric format that is understandable by the computers. Word embedding refers to the numeric representations of words.
Several word embedding approaches currently exist and all of them have their pros and cons. We will discuss three of them here:
Bag of Words
TF-IDF Scheme
Word2Vec
The text was updated successfully, but these errors were encountered: