Page 24 - CT_AI_Class-7

 Virtual assistants: NLP enables virtual assistants to understand
spoken or typed user requests, interpret their meaning and provide
relevant responses, helping users perform tasks efficiently and interact
naturally. A. Tick ( ) the correct option.
1. Choose the domain of data science that uses large amounts of data to make predictions or
decisions.
 Spam detection: NLP helps identify and filter unwanted or harmful
messages by analysing text patterns, keywords and context, ensuring a) Data science b) Computer vision
that spam emails and messages are automatically detected and c) Natural language processing d) Classification
blocked effectively.
2. Identify the dataset type that contains data in rows and columns.

a) Structured data b) Semi-structured data
 Text summarisation: NLP enables systems to analyse lengthy text
and generate concise summaries, capturing key information and main c) Unstructured data d) Hybrid data
ideas, making it easier for users to quickly understand large amounts 3. Select the predictive technique used to estimate continuous numerical values.
of content. a) Classification b) Clustering

c) Dataset d) Regression
Checkpoint Fill in the blanks. 4. Mark the dataset which consists of data in the form of numbers.

1. identify whether a given text expresses is positive, negative or neutral opinion. a) Numerical dataset b) Text dataset

2. Face unlock application identifies a user by analysing facial features captured by a . c) Multimedia dataset d) Image dataset

3. refers to data that does not have any predefined format or organisation. 5. Which term is used to describe a process that turns structured data into meaningful human

4. Each individual unit within a dataset is known as a . language?
a) Optical character recognition b) Speech recognition

c) Machine translation d) Natural language generation

B. Fill in the blanks using the given hints:
1. is used in AI where machines sort information into specific Hints
Intelligence is the ability to learn, think, understand and solve problems. categories. Similarities

The domains of AI refer to the main areas or branches where AI is used to mimic or enhance 2. In Clustering the data is grouped together based on . Web
human intelligence. Amazon Alexa
3. Regression is used to make about numbers. Classification
Computer vision, a domain of AI, enables machines to identify objects, people and patterns.
4. A dataset is gathered from online sources like websites. Predictions
NLP is a branch of AI that enables computers to understand, interpret and respond to human 5. Google Assistant and understand spoken commands and respond to users in a
language in a meaningful way.
natural way.
Data science is the field that deals with collecting, analysing and interpreting large sets of data.
C. Write ‘T’ for true and ‘F’ for false.
Datasets refer to organised collections of data used to train and assess machine learning models.
1. Speech recognition tranforms spoken language into machine-readable data.

2. AI systems can learn from different types of data such as numbers, images and sounds.

22 Artificial Intelligence (CT & AI)-VII