Punctuation Remover
Description	Punctuation remover is an algorithm used to remove punctuation marks like a full stop, comma, semi-colon, question mark, exclamatory mark, and other such punctuation marks from the given text.
Why to use	Textual Analysis – Pre Processing
When to use	When there are redundant punctuation marks that can be removed before performing textual analysis.	When not to use	On numerical data.
Prerequisites	Punctuation marks should be present in the textual data.
Input	Hello!!!, he said ---and went.	Output	Hello he said and went. In this example, the punctuation marks "(!!!) (---) (.) (,)" are removed.
Related algorithms	Case Convertor Custom Words Remover Frequent Words Remover Lemmatizer Spelling Corrector Stemmer Advanced Entity Extraction Word Correlation Word Frequency	Alternative algorithm	_
Statistical Methods used	-	Limitations	It cannot be used on Numerical data.

Punctuation Remover 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.

Punctuation remover is an algorithm used to remove punctuation marks like a full stop, comma, semi-colon, question mark, exclamatory mark, and other such punctuation marks from the given text.

Properties of Punctuation Remover

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

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

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 from which you want to remove punctuation marks.	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 Punctuation Remover

The figure given below shows the result of Punctuation Remover applied on Google News snippets.
In the figure, the column heading CPRText represents the text after the Punctuation Remover is applied.
In the two highlighted examples, the two punctuation marks comma ( , ) and dash ( - ) have been removed.

Table of Contents