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    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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