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What is the purpose of tokenisation in NLP?Question 9Answera.Analyzing sentimentb.Identifying parts of speechc.Removing stop wordsd.Breaking text into words or phrases

Question

What is the purpose of tokenisation in NLP?Question 9Answera.Analyzing sentimentb.Identifying parts of speechc.Removing stop wordsd.Breaking text into words or phrases

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Solution

The purpose of tokenisation in Natural Language Processing (NLP) is to break text into words or phrases, also known as tokens. This is a crucial first step in NLP as it allows the model to understand and analyze the text in a more manageable form.

Here's a step-by-step explanation:

  1. Tokenisation starts by taking a sentence or a paragraph as input.
  2. It then breaks this input into smaller pieces called tokens. These tokens can be words, numbers, punctuation, etc.
  3. These tokens are then used as the input for other NLP tasks such as sentiment analysis, parts of speech identification, stop words removal, etc.

So, the correct answer to your question is option d. Breaking text into words or phrases.

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