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SECTION B (Subjective Type Questions)
                 Short answer type questions.

                  1.  What is the functionality of Meaning Cloud in the context of NLP?
                  2.  Why are No-code NLP platforms beneficial for non-technical users?
                  3.  What do you understand by the term sentiment analysis?
                  4.  Write about any two of the sentiment analysis method.
                  5.  What are the steps to follow in the process of data exploration?


                                                                                     21 st  Century   #Technology Literacy
                                                                                         Skills
                              Lab



                        1.   Create a PowerPoint presentation to explain the various applications of NLP. Make separate slides for
                           each application and use graphics to make them attractive.

                        2.   Find some more chatbots from the internet and write your information in a MS word file using their logos
                           as well as working of each chatbot.



                                                                                     21 st  Century   #Technology Literacy
                                                                                         Skills
                               Lab



                        Sentiment Analysis for FIFA World Cup 2022 Tweets Using Orange Data Mining
                        The FIFA World Cup 2022 was one of the most talked-about sporting events globally, and social media
                        platforms, especially X (formerly Twitter), were filled with real-time reactions from fans, players, and critics.
                        Analysing  these  tweets  provides  insights  into  public  opinion  and  sentiment  surrounding  the  event.  By
                        performing sentiment analysis, we can classify tweets as positive, neutral, or negative and understand how
                        different aspects of the World Cup were perceived.
                        Problem Statement
                        The objective is to analyse tweets related to the FIFA World Cup 2022 and classify them as positive,
                        neutral, or negative using machine learning techniques.
                        Dataset
                        The dataset used in this case study is the FIFA World Cup 2022 Tweets Dataset, which is available on
                        Kaggle. This dataset contains tweets related to the FIFA World Cup 2022 and provides valuable insights into
                        fans' reactions to the event.
                        Now, we classify tweets related to the FIFA World Cup 2022 into different sentiment categories using
                        the Orange Data Mining Tool.



              Answers

              Exercise (Section A) Theory
              A.    1.  b   2.  c   3.  c    4.  b    5.  b     6.  b    7.  a     8.  b
              B.  1.  NLP                  2.  Voice assistants    3.  keyword extraction  4.  words and phrases
                  5.  Conversational agent   6.  Google Translate   7.  captions      8.  0 and 1
              C.  1.  True   2.  False   3.  False   4.  False   5.  True   6. False   7.  False   8. False
              Exercise (Section A) Practical
                   1.  c.   2.  c.   3.  b.   4.  c.   5.  b.

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