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Q.16 Which one of the following are keyword Normalization techniques in NLP1. Part of Speech2. Named entity recognition3. Stemming4. Count Vectorizer

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Q.16 Which one of the following are keyword Normalization techniques in NLP1. Part of Speech2. Named entity recognition3. Stemming4. Count Vectorizer

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Solution

The keyword normalization techniques in Natural Language Processing (NLP) from the given options are:

  1. Part of Speech: This is not a keyword normalization technique. It is a grammatical term that deals with the roles of words when they are used in context.

  2. Named Entity Recognition: This is not a keyword normalization technique either. Named Entity Recognition (NER) is a process where an algorithm takes a string of text (sentence or paragraph) as input and identifies relevant nouns (people, places, and organizations) that are mentioned in that string.

  3. Stemming: This is a keyword normalization technique. Stemming is the process of reducing inflected (or sometimes derived) words to their word stem, base or root form.

  4. Count Vectorizer: This is not a keyword normalization technique. Count Vectorizer is used to transform a given text into a vector on the basis of the frequency (count) of each word that occurs in the entire text.

So, out of the given options, only Stemming is a keyword normalization technique in NLP.

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