Stemmer

Stemmer
Description	The automated process produces a base string in an attempt to represent related words. For example, if the words are "runs", "running", and "runner", then the algorithm will automatically reduce these words to the root word "run".
Why to use	Textual Analysis – Pre Processing
When to use	When you want to get root form of words for the textual data. It mapping the group of words to the same stem, even if the stem itself is not a valid word in the language.	When not to use	On numerical data.
Prerequisites	It is used on textual data
Input	Program programs programmer programming programers	Output	program program program program program
Predecessor	Case Convertor Custom Words Remover Frequent Words Remover Lemmatizer Punctuation Remover Spelling Corrector Advanced Entity Extraction Word Correlation Word Frequency	Successor	Case Convertor Custom Words Remover Frequent Words Remover Lemmatizer Punctuation Remover Spelling Corrector Advanced Entity Extraction Word Correlation Word Frequency
Related algorithms	Case Convertor Custom Words Remover Frequent Words Remover Lemmatizer Punctuation Remover Spelling Corrector Advanced Entity Extraction Word Correlation Word Frequency	Alternative algorithm	Lemmatizer
Statistical Methods used	-	Limitations	It can often create non-existent words that does not have any meaning.

Stemmer is located under Textual Analysis ( ) in Pre Processing, in the task pane on the left. Use drag-and-drop method to use algorithm in the canvas. Click the algorithm to view and select different properties for analysis.

Stemming is the process in information retrieval that reduces an inflected or derived word to its stem form or the root word form. It produces a base string to represent related words.
For example, the root word 'run' can represent all other words like 'runs', 'running', 'ran', and other forms of it.

Properties of Stemmer

The available properties of Stemmer are as shown in the figure given below.

The table given below describes different fields present on properties of stemmer.

Field		Description	Remark
Task Name		It displays the name of the selected task.	You can click the text field to edit or modify the name of the task as required.
Text		It allows you to select the text for which you want to map group of words to its root word.	Only one data field can be selected Textual data fields selected for the reader are visible. Only textual data field can be selected
Advanced	Node Configuration	It allows you to select the instance of the AWS server to provide control on the execution of a task in a workbook or workflow.	For more details, refer to Worker Node Configuration.

Interpretation of Stemmer

The figure given below shows the result of Stemmer applied on Google News snippets.
In the figure, the column heading CSTText represents the text after the Stemmer is applied.
In the highlighted example, the words "singer" and "cases" have been reduced by their stems "sing" and "case" respectively.

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