Page 19 - Ai Robogenius

3. Which of the following is an example of an NLP-powered social media monitoring tool?

(i) Google Home (ii) Buffer

(iii) Siri (iv) Alexa

4. Which feature in word processors relies on NLP to suggest the closest accurate term
based on your misspelling?

(i) Text Classification (ii) Autocorrect

(iii) Semantic Search (iv) Machine Translation

5. Which NLP feature categorises emails into Primary, Spam and Promotions?

(i) Sentiment Analysis (ii) Text Classification

(iii) Semantic Search (iv) Speech Recognition

B. Write ‘T’ for true and ‘F’ for false.

1. Speech recognition involves converting spoken words into machine-readable data.

2. NLP cannot support people with disabilities.

3. AI tutors such as Khanmigo help millions by interpreting queries and
responding appropriately.

4. QuillBot is an example of emotion detection app.

5. Search Engines use NLP to optimise search results and helping users find
relevant information effectively.

C. Fill in the blanks using the given hints:

1. Apps like and use NLP to listen to our Hints
voice and understand what we are saying. Sentiment analysis

2. is a process used to determine whether a piece of text NLP
is positive, negative or neutral. Siri
vocabulary
3. helps computers read, understand and respond to both Replika
spoken and written language in a meaningful way. Alexa

4. , a chatbot, employs emotion detection to
empathetically respond to users' messages.

5. Language Learning Apps use NLP to help users learn pronunciation, grammar and
through collaborative conversations.

Natural Language Processing (NLP)
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