Machine Learning

Machine Learning in R and Python

Part 7 - Natural Language Processing

Section 36 - Natural Language Processing

Natural Language Processing Intuition

Natural Language Processing in Python
- Importing the libraries
- Importing the dataset
- Cleaning the texts
- Creating the Bag of Words model
- Splitting the dataset into the Training set and Test set
- Fitting Naive Bayes to the Training set
- Predicting the Test set results
- Making the Confusion Matrix

Natural Language Processing in R
- Importing the dataset
- Cleaning the texts
- Creating the Bag of Words model
- Importing the dataset
- Encoding the target feature as factor
- Splitting the dataset into the Training set and Test set
- Fitting Random Forest Classification to the Training set
- Predicting the Test set results
- Making the Confusion Matrix
- Visualising

Section 37 - Part Recap

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