note: using spyder

I want the answer in CODE

Ignore step 11

Your manager sent you a dataset for restaurant review to analyze it. As a data scientist you will build a prediction model to predict whether a review on the restaurant is positive or negative. Do the following Steps: 1. Download the attached dataset. 2. Use the following algorithm to make prediction models: a. Random Forest. b. SVM 3. Cleaning the texts. 4. Make the total words equal 1550 . 5. Creating the Bag of Words model 6. When splitting the dataset into the Training set and Test Set, assign 70% fortraining set and 30% for test set. (random_state =0 ). 7. Determine the N-tree to be 10 . 8. For SVM, determine the kernel type ( rbf) 9. Write or show screenshot of the confusion matrix. 10. Show screenshot of yourcode. 11. Write your opinion about the performance of Random Forest in compare with SVM