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What is the purpose of removing stop words in natural language processing?

Answer and explanation

Correct answer: To reduce the number of less informative common words in a text

Stop words are very common function words, such as “the,” “and,” or “is,” that may contribute limited information for particular NLP tasks. Removing them can reduce vocabulary size, lower processing effort, and help a model emphasize more informative terms. Option A is correct, but removal is task-dependent because some stop words can matter for meaning, sentiment, or grammar. It does not remove every important word.

Related tags

Stop WordsText PreprocessingNatural Language ProcessingFeature ReductionPart B: Subject Specific SkillsPart B Subject Specific SkillsArtificial IntelligenceClass 12 Mcq

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