Rapidminer and Tableau
Budget: $10 – $30 USD
In this project you will perform sentiment analysis on tweets related to vaccination. You will have to use Rapidminer and Tableau Public to do the following task:
1. Task 1
a. Download and install RapidMiner Studio from the following link c/ and Register for “Educational purposes” using your university email address to receive a license
b. Open RapidMiner Studio to get started.
c. Create a process to load the train.xlsx data file
d. Do any necessary pre-processing on the data file
e. Include a good classifier in your process and create a classification model to classify positive and negative tweets.
f. Check the performance of the classifier. If the accuracy is below 60%, change the classifier
g. Show the performance of the classifier.
2. Task 2
a. Load the test.xlsx data file on the same process you made in Task-1
b. Apply the same model you trained in Task -1 on the test.xlsx data
3. Task 3
a. Make a dashboard in Tableau to show the classification results of Task 2: number and percentage of positive and negative tweets.
1. Task 1
a. Download and install RapidMiner Studio from the following link c/ and Register for “Educational purposes” using your university email address to receive a license
b. Open RapidMiner Studio to get started.
c. Create a process to load the train.xlsx data file
d. Do any necessary pre-processing on the data file
e. Include a good classifier in your process and create a classification model to classify positive and negative tweets.
f. Check the performance of the classifier. If the accuracy is below 60%, change the classifier
g. Show the performance of the classifier.
2. Task 2
a. Load the test.xlsx data file on the same process you made in Task-1
b. Apply the same model you trained in Task -1 on the test.xlsx data
3. Task 3
a. Make a dashboard in Tableau to show the classification results of Task 2: number and percentage of positive and negative tweets.