Worksheet: Natural Language Processing | Artificial Intelligence for Class 10 PDF Download

Multiple Choice Questions (MCQs)

Q.1: What is the primary focus of Natural Language Processing (NLP)?
a. Enabling computers to understand human language
b. Processing numerical data for predictions
c. Identifying symbols in images
d. Developing computer vision algorithms  

Q.2: Which of the following is NOT a domain of AI mentioned in the content?
a. Data Science
b. Computer Vision
c. Natural Language Processing
d. Robotics  

Q.3: Which application of NLP involves assigning predefined categories to documents?
a. Automatic Summarization
b. Sentiment Analysis
c. Text Classification
d. Virtual Assistants  

Q.4: What distinguishes a Smart Bot from a Script Bot?
a. Smart Bots are easier to create
b. Smart Bots have limited language processing
c. Smart Bots can learn and improve over time
d. Smart Bots are based on predefined scripts  

Q.5: In the Bag of Words model, what does the term "bag" imply?
a. The order of words matters
b. The model focuses on word frequency regardless of order
c. The model only processes stopwords
d. The model prioritizes sentence structure  

Fill in the Blanks

Q.6: Natural Language Processing is a sub-field of ________ that focuses on enabling computers to understand human language.  

Q.7: The process of breaking a corpus into individual sentences is called ________.  

Q.8: In text normalization, common words like "and" or "the" that are removed are called ________.  

Q.9: The ________ algorithm creates a vocabulary of unique words and their frequencies from a processed corpus.  

Q.10: The formula for TF-IDF is TF(W) * ________.  

True or False

Q.11: Computer Vision involves applying mathematical and statistical principles to data.  

Q.12: Sentiment Analysis can classify sentiments as positive, negative, or neutral.  

Q.13: Script Bots are highly adaptable and can handle complex tasks.  

Q.14: Syntax refers to the meaning of a sentence, while semantics refers to its grammatical structure.  

Q.15: In the Bag of Words model, the order of words in a document affects the output.  

Short Answer Questions

Q.16: Define Natural Language Processing (NLP) in one sentence.  

Q.17: Name two real-life applications of NLP mentioned in the content.  

Q.18: What is the difference between stemming and lemmatization in text normalization?  

Q.19: Explain what a document vector represents in the Bag of Words model.  

Q.20: What does Inverse Document Frequency (IDF) measure in the TF-IDF algorithm?  

Long Answer Questions

Q.21: Explain how the human brain processes spoken language in a classroom setting, including how it prioritizes certain sounds.  

Q.22: Discuss the challenges computers face in understanding human language, focusing on syntax and semantics, with an example from the content.  

Q.23: Calculate the TF-IDF for the word "pollution" given: total documents = 10, documents containing "pollution" = 3, and TF(pollution) = 2 for a specific document. Show all steps.  

Q.24: A company wants to implement a chatbot for customer service. Should they choose a Script Bot or a Smart Bot? Justify your recommendation based on their features and potential use cases.