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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 acquisition?
                  6.  What are the steps to follow in the process of data exploration?

                               In Life                                            21 st  Century   #Critical Thinking
                                                                                      Skills
                                                                                          #Productivity & Accountability
                 How  do sentiments influence consumer buying  behaviour? Is it solely the  sentiment ratings  that  determine  the
                 performance of a product, or do other factors also play a role in shaping consumer decisions?




                             Deep Thinking                                             21 st  Century
                                                                                           Skills  #Critical Thinking

                  To what extent is it ethical for businesses to use NLP sentiment analysis to influence consumer behaviour, and what
                  potential risks might arise from manipulating sentiments in marketing strategies?


                                                                                     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)
                   1.  c.   2.  b.   3.  c.   4.  b.   5.  b.   6.  b.   7.  c.    8.  b.

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