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Novel Processing for Stop Words
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 186 - Number 72 |
| Year of Publication: 2025 |
| Authors: Aeesha S. Shaheen, Hadia Salih, Amera Ismail Melhum |
10.5120/ijca2025924514
|
Aeesha S. Shaheen, Hadia Salih, Amera Ismail Melhum . Novel Processing for Stop Words. International Journal of Computer Applications. 186, 72 ( Mar 2025), 14-18. DOI=10.5120/ijca2025924514
Abstract
One of the most difficult tasks that face scholars in a branch of linguistics known as Natural Language (NLP) is how to deal with stop words – those ubiquitous words which add little to the meaning of a text yet tend to be in it. In the most traditional approaches, these are even deleted in order to facilitate analyses of the contents. Some of these explain how these unwanted ‘filler’ words should be applied using a novel concept of color coding them. Rather than only substituting the ‘cut-out’ stop word with the appropriate symbol, we replace the symbol with a colored one representing that specific stop word. This revolutionary technique, allows improved visual of text and opens new avenues in text condensation, affective evaluation and even keywords selection. Thanks to the standard distribution of color-coded stop words, it is possible to illustrate visually how each stop word is distributed.
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