Here is a noise word list of default noise and stop words used by a few popular document review platforms: (Note, you must re-index your documents after adjusting noise words and it might take longer for your searches to run if you delete words that are in your noise words list).ĭownload all of the search cheatsheets below here or by clicking the images. This is a good option if you anticipate using the noise word frequently in your searches or if using proximity searching does not return accurate search results. If using proximity search and expanding keyword searches does not help, another way to address noise word-related search issues is deleting noise words and stop words from your software’s default noise word list and re-run the index. You can also use other keywords that are closely associated with your term to identify documents. For example, if you notice that the IT department is always followed by the word computers you can use proximity searching to narrow down your search results (Department w/2 computers). You can use proximity searches (a Boolean search technique) and other key terms to filter out junk search results. There are a few things you can do to avoid this issue. For example, if you are trying to search the phrase “IT department”, your results may bring up any document that has two words with the second word being department. That noise words are ignored e-discovery software can be an issue if you are searching for similar phrases. Most e-discovery software skips noise words or otherwise removes stop words when it indexes documents. Noise words are words that are so common that they are deemed unimportant for searching (for example, words like and, if, and it). When building a search index, e-discovery software uses “noise words” or “stop words” to improve search performance. Why is that, and what can be done to improve search results? Here are five important search concepts and tricks to help return better-targeted search results. However, searching can be tricky and, if not phrased right, may turn up less than ideal results. Despite advances in artificial intelligence and machine learning in e-discovery software, proper use of search functionality is still an important tool for efficient document reviews.
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