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The sample data taken for our steps can be download from link.
                 https://orangewebsupport.co.in/AI/IMDB_Dataset_ODM.xlsx
                 OR
                 http://bit.ly/4jLNdhG
                 Steps to teach AI model to predict the sentiments at different stages of Project life cycle using the Orange Data
                 Mining tool are as follows:

                  Stage 1   Problem Scoping

                 From the IMDb dataset, predict for each review in the corpus. Predict the following sentiments from the dataset:

                  Sentiment         Meaning

                  Positive Score    Positive Review
                  Negative Score    Negative Review

                  Neutral Score     Neutral Review

                  Compound Score    Total Sentiment of the review i.e. -1 means most negative, +1 means most positive


                  Stage 2   Data Acquisition
                 Follow the following steps in the process of data acquisition:

                 Step 1   Open the Orange Data Mining application and click on the New option. It opens the new canvas.
                 Step 2   Click on File widget to place it on the Canvas.
                 Step 3    Click on Corpus to place it on the Canvas and load the dataset from the computer in the xls format to
                          the corpus. Note, Text Mining can be added by selecting Text option from Add-ins from Options tab.
                 Step 4   Connect the File to Corpus by dragging the output from file to the input of Corpus.

                 Step 5    Insert the Data Table just next to Corpus and connect the Corpus to Data Table by dragging the
                          output from Corpus to the input of Data Table.

                 Step 6    Double-click on Data Table widget to see how data appears now.
                 Step 7    Insert the Corpus Viewer just next to Corpus and connect the Corpus to Corpus Viewer by dragging
                          the output from Corpus to the input of Corpus Viewer.
                 Step 8   Double-click on the Corpus Viewer widget to see the data.

                  Stage 3   Data Exploration

                 Follow the following steps in the process of data exploration:
                 Step 9   Double-click on Data Table widget to see missing data.
                 Step 10   Insert  the  Preprocess  Text  and  connect  Corpus to  Preprocess Text  by  dragging  the  output  from
                          Corpus to the input of Preprocess Text.
                 Step 11    Double-click on PreProcess Text to open the Properties Window. We can see that the data is cleaned
                          automatically.

                  Stage 4   Modelling

                 To model the stated dataset follow the given step:
                 Step 12  Insert the Sentiment Analysis and connect the PreProcess Text to Sentiment Analysis by dragging the
                         output from PreProcess Text to the input of Sentiment Analysis.

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