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• Sentiment and Emotion  Analysis:  This application of NLP is highly significant as it helps businesses  gain
                insights into consumer opinions, perform competitive comparisons, and make necessary adjustments to their
                business strategies. The primary goal of sentiment analysis is to identify and interpret emotions and sentiments
                expressed across multiple social media posts, even in cases where emotions are not explicitly conveyed.
                Companies  leverage  NLP  to  understand  customer  perceptions  of  their  products  and  services.  Sentiment
                analysis  evaluates  and  classifies  opinions  as  positive,  negative,  or  neutral,  offering  a  quantifiable  measure  of
                public sentiment.
                In  the  real  world,  sentiment
                analysis  plays  a  crucial  role  in
                assessing  customer  satisfaction,       POSITIVE                NEUTRAL                NEGATIVE
                                                      "Great service for an   "Just booked two nights at   "Horrible services. The room
                measuring  brand  or  product
                                                     affordable price. We will   this hotel"      was dirty and unpleasant. Not
                popularity,  and  tracking  trends   definitely be booking again."                    worth the money."
                such as fashion or market shifts.
                 • Text Classification: Text classification is the process                               Technology
                of  automatically  organising  text  into  predefined
                categories  based  on  content  and  context.  For        Random
                example,  email  services  like  Gmail  use  NLP-based
                spam filtering to classify emails into spam and non-                                     Fashion
                spam categories. Articles can be organized by topics,
                chat conversations can be categorized by languages,
                and customer reviews can be grouped by sentiment                                         Sports
                or relevance.


                 • Voice assistants: Personal assistant applications like Siri, Google Assistant and
                Amazon Alexa use NLP. They interpret human voice, understand human intent
                and cater to their needs accordingly. They can do tasks like, play your favourite
                playlist, book a salon appointment, set up an alarm, send a message to your
                contact, etc. They keep track of your choices and preferences, and help in giving
                relevant  recommendations.  With  every  passing  day,  new  advancements  are
                happening in this field, what we see now as virtual assistants, they have become
                an integral part of our social life.                                                     Siri
                 • Keyword extraction: Keyword extraction is a powerful tool that automatically identifies the most frequently
                used and important relevant and contextually significant words or phrases in a text. It provides valuable
                insights  into  public  opinions  about  a  business  on  social  media.  By  leveraging  this  tool,  businesses  can
                enhance their customer service and address customer needs more effectively.


                             Task                                                        21 st  Century   #Technology Literacy
                                                                                             Skills

                  Keyword Extraction
                  To learn how to utilise an Application Programming Interface(API) for performing keyword extraction from a website
                  follow the given steps:
                    •  Each word and sentence in the statement is analysed, broken down, and categorised based on its relevance.
                     They are marked in different colours, representing how the data has been segmented and understood by the
                     API.



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