Custom Words Remover

Custom Words Remover

Custom Words Remover 

Description

Custom words remover eliminates the user-specified custom word/words before further processing. 

Why to use

Textual Analysis – Pre Processing 

When to use

When user defined custom words are to be removed from the textual data. 

When not to use

On numerical data.

Prerequisites

The custom word to be removed should be present in the selected field of dataset. 

Input

Nick likes to play football; however, he is not too fond of tennis.


Output

Nick likes to play; however, he is not too fond of.
In this example, the custom words "football, tennis" are removed.

Related algorithms

  • Case Convertor
  • Frequent Words Remover
  • Lemmatizer
  • Punctuation Remover
  • Spelling Corrector
  • Stemmer
  • Advanced Entity Extraction
  • Word Correlation
  • Word Frequency 

Alternative algorithm

-

Statistical Methods used

-

Limitations

It cannot be used on Numerical data.


One of the major tasks of data pre-processing is to filter out useless data. It is also called as text mining. Custom words remover eliminates the user-specified custom word/words before further processing. This helps you to extract your data as required.

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