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CASE STUDY: Sentiment Analysis For Internet Movie Database (IMDb)
IMDb—The Internet Movie Database (IMDb) is an online database containing information and statistics about
movies. IMDb was first published in 1990 by Col Needham, a computer programmer, as a group of scripts which
allowed users to search a list of film credits that were compiled with the help of a USENET group. The database
was incorporated in 1996. In 1998, Internet Movie Database Ltd. became a subsidiary of Amazon, which uses it as
a way to advertise movies and DVDs which it sells on its main website.
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.
400 Touchpad Artificial Intelligence (Ver. 3.0)-X

