What is the term for reducing the complexity of text data in NLP?
a) Data augmentation
b) Dimensionality reduction
c) Tokenization
d) Sentence segmentation
Answer:
b) Dimensionality reduction
Explanation:
Dimensionality reduction techniques are used in NLP to reduce the complexity of high-dimensional text data, such as word embeddings.
Reference:
Natural Language Processing (NLP) Quiz – MCQ Questions and Answers