If you have a non-English language, what should you do with the Concept Stop word list?

Choosing to modify the Concept Stop word list to include stop words from a non-English language is essential for ensuring that text processing and analysis are accurate and effective. Stop words are commonly used words in a language that often do not carry significant meaning, such as "and," "the," or "is" in English. When working with text in a non-English language, it is important to account for that language's unique set of stop words to avoid processing that could skew the results or overlook relevant data.

By modifying the stop word list, you create a tailored version that reflects the linguistic characteristics and common usage patterns of the specific language, thereby improving the performance of any queries or analyses conducted on the data. This adjustment acknowledges the nuances of language and enhances the quality of output by filtering out irrelevant information more accurately.

Other approaches—like leaving the list unchanged, using a predefined list from the software without customization, or simply appending to the existing list—may not adequately address the specific needs of the language being analyzed. They could result in important words being ignored or irrelevant words being considered in the analysis, leading to misleading conclusions. Thus, customizing the stop word list for the non-English language is the best practice.