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14. How does document analysis contribute to NLP applications?
a. Summarising documents automatically
b. Sorting and searching data in businesses, institutions, and schools
c. Translating documents into different languages
d. Categorising emails
B. Fill in the blanks.
1. are designed to perform specific tasks to ease the work of humans.
2. Cognitive systems understand, reason, learn, and .
3. Listening to your opponent’s arguments and opinions, then present a convincing that further
proves your case.
4. work with established rules and decision trees and respond to user input using pre-programmed
rules.
5. Voice Assistants, such as Siri, Alexa, or Google Assistant, utilise a complex fusion of , natural
language processing, and natural language interpretation to comprehend and react to human speech.
6. In , NLP assigns emails based on whether they are considered “important” or “spam”.
7. saves us from the time-consuming chore of looking through numerous files by searching a
keyword and categorising it.
8. aims at determining the appropriate meaning behind a statement in a clear and concise manner.
9. The semantic analysis involves mapping the syntactic structure and ensuring that the presented relationships
between entities, words, phrases, and sentences in the text are .
10. is a purpose that explains why a user is contacting the chatbot, which can be considered as a verb
or a type of activity.
C. State whether the following statement is true or false.
1. An entity can be real-world objects such as names, location, organisations or dates.
2. The process of understanding and linking different parts of the text is known as coreference resolution.
3. A concept is an idea suggested or implies in a sentence but not actually stated.
4. Sentiment analysis and emotion detection are two natural language processing (NLP) techniques
that use human language to categorise people's thoughts, attitudes, and feelings.
5. Chatbots are software applications or computer programs that simulate conversation with machine.
6. A chatbot’s backend is the messaging channel through which users interact and it has an easy-to-use
interface.
7. An intent is a purpose that explains why a user is contacting the chatbot.
8. The text is divided into words and paragraph in the step of discourse integration.
9. The voice assistants are losing their popularity.
10. Processing data by hand takes a lot of time and is prone to mistakes.
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