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SUB-UNIT                 LEARNING OUTCOMES                       SESSION/ACTIVITY/PRACTICAL
                                                                          Activity: Play with chatbots
                                                                          Elizabot - https://www.masswerk.at/elizabot/

                                  Understand the concept of chatbot and the   Mitsuki - https://www.kuki.ai/
             Chatbots             differences between smartbots and script   Cleverbot - https://www.cleverbot.com/
                                  bots.                                   Singtel - https://www.singtel.com/personal/support

                                                                          Session: Script Bot v/s Smart Bot


                                                                          Session: Text Processing
                                                                          ● Text Normalisation
             Concepts of Natural   Learn about the Text Normalization     ● Bag of Words
             Language Processing:   technique used in NLP and the popular NLP   Hands-on: Text processing
             Text Processing      model - Bag-of-Words
                                                                          ● Data Processing

                                                                          ● Bag of Words
                                                                          ● TFIDF

            Unit 7: Natural Language Processing (To be assessed through Practicals)

                  SUB-UNIT                 LEARNING OUTCOMES                       SESSION/ACTIVITY/PRACTICAL


                                                                          Session: Examples of Code and No-code NLP Tools


                                                                          Session: Introduction to Natural Language Processing
             Natural Language     Explore the sentiment analysis process using
             Processing: Use Case   real-life datasets with the Orange Data Mining   Hands-on: Case Walkthrough – Steps involved in
             Walkthrough          tool.                                   project development
                                                                          Link to steps and dataset: https://drive.google.com/
                                                                          drive/u/2/folders/1geFLXx
                                                                          V5890kfcakMfEg_KsH1LPcS_Iz


            Part-C: Practical Work

                                             l Write a program to add the elements of the two lists.
                                             l Write a program to calculate mean, median and mode using Numpy

                                             l Write a program to display line chart from (2,5) to (9,10).
                                             l Write a program to display a scatter chart for the following points (2,5), (9,10),(8,3),(5,7),(6,18).
             Suggested Programs List
                                             l Read csv file saved in your system and display 10 rows.
                                             l Read csv file saved in your system and display its information
                                             l Write a program to read an image and display using Python
                                             l Write a program to read an image and identify its shape using Python

                                             l Link to AI Activities & steps to AI project development considering real life problem statement
             Important Links                along  with the  required dataset  https://docs.google.com/spreadsheets/d/1ZQCTT8RM-
                                            l7QfeTzH0n- 5wJLBAoiXu7TFM0Pcp31cX0/edit?usp=sharing
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