Natural Language Processing Machine Learning Multiple Choice Questions and answers
Hello friends in this post we will discuss about Natural Language Processing Multiple Choice Questions and answers, Natural Language Toolkit multiple choice questions and answers are very important in syllabus of University and Colleges. We will discuss in this post.
1. NER Stands for _________.
A. Nutral-Entity Recognition
B. Named-Entity Recognition
C. Natural-Entity Recognition
D. Named-Entity Relationship
Ans : D
2. NLP consist of how many Steps ?
A. 6
B. 7
C. 8
D. 9
Ans : C
3.NLTK Stands for ______.
A. Numerical Level toolkit.
B. Nural Language Toolkit
C. Natural Language Toolkit
D. None of these
Ans : C
4. ________ is the process of getting the root form of a word.
A. Rooting
B. Dreaming
C. Steaming
D. Polling
Ans : C
5. ____________ also converts a word to its root form
A. Rooting
B. Dreaming
C. Steaming
D. Lemmatization
Ans : D
6. ________ is the process of extracting phrases from unstructured text and more structure to it.
A. Rooting
B. Chunking
C. Steaming
D. Lemmatization
Ans : B
7._______is also known as shallow parsing.
A. Rooting
B. Chunking
C. Steaming
D. Lemmatization
Ans : B
8. ____________ is used to extract information from unstructured text.
A. Rooting
B. Chunking
C. Steaming
D. Named Entity Recognition
Ans : D
9.The process of converting data to something a computer can understand is referred to as________.
A. Post processing
B. Pre processing
C. Pre defined
D. Post defined
Ans : B
10. __________is a subfield of computer science, artificial intelligence, information engineering, and human-computer interaction.
A. NLR
B. NLP
C. NLA
D. NLW
Ans : B
11. _________ is the process of tokenizing or splitting a string, text into a list of tokens.
A. Rooting
B. Chunking
C. Steaming
D. Tokenization
Ans : D
