What is the purpose of "tokenization" in NLP?
A. To group words into topics
B. To split text into individual words or tokens
C. To translate text from one language to another
D. To recognize named entities
Answer: Option B
This Question Belongs to Data Science >> Natural Language Processing (NLP)
What is the primary goal of Natural Language Processing (NLP)?
A. To generate random text
B. To understand, interpret, and generate human language
C. To analyze only written text
D. To automate data visualization
A. Named Entity Recognition
B. Sentiment Analysis
C. Part-of-Speech Tagging
D. Machine Translation
A. Stemming
B. Tokenization
C. Lemmatization
D. Normalization
In the context of NLP, what does the acronym "POS" stand for?
A. Part-of-Speech
B. Positive Output
C. Plain Old Search
D. Preprocessed Object Store
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