Course Content
Identifying the Most Frequent Words in Text
Identifying the Most Frequent Words in Text
Stemming
The Porter Stemming Algorithm is a highly-regarded and commonly utilized method in natural language processing for stemming. Stemming, a process that involves truncating words to their root or base form, is achieved by systematically stripping away suffixes.
Recognized for its efficiency in processing English text, the Porter Stemmer operates on a sequence of rule-based approaches to eliminate common suffixes from words. This ability to streamline words to their stems significantly reduces the dimensionality of text data.
Task
- Import the PorterStemmer class for stemming from NLTK.
- Create an instance of the PorterStemmer.
- Apply stemming to each word in the previously filtered list.
Switch to desktop for real-world practiceContinue from where you are using one of the options belowThanks for your feedback!
The Porter Stemming Algorithm is a highly-regarded and commonly utilized method in natural language processing for stemming. Stemming, a process that involves truncating words to their root or base form, is achieved by systematically stripping away suffixes.
Recognized for its efficiency in processing English text, the Porter Stemmer operates on a sequence of rule-based approaches to eliminate common suffixes from words. This ability to streamline words to their stems significantly reduces the dimensionality of text data.
Task
- Import the PorterStemmer class for stemming from NLTK.
- Create an instance of the PorterStemmer.
- Apply stemming to each word in the previously filtered list.
Switch to desktop for real-world practiceContinue from where you are using one of the options below