What is the concept of specificity in fuzzy matching? How can fuzzy matching be used for historical text analysis?

Dec 9, 2024 ... The fuzzy match operator is useful to match terms even when there are minor differences between the query and indexed data. This allows you to ... Hi Sebastien - there is no official VBO available but maybe someone out there has tried it. I would imagine a single code sage would be enough, and searching ... Jan 18, 2023 ... Here is an example of how you could identify duplicates and bring them together without having a 'ground truth'. The workflow will try to determine the groups ... Jul 15, 2022 ... Fuzzy string matching is an artificial intelligence and machine learning technology that identifies similar, but not identical elements in data table sets. The most effective way to build a fuzzy match is to perform the match process on multiple fields within the input file. Each field should be individually ... Apr 22, 2018 ... Per default, helm fuzzy sort will sort match candidates based on their scores as computed with helm-score-candidate-for-pattern. Indicates how similar two values need to be in order to match. The minimum value of 0.00 causes all values to match each other. The maximum value of 1.00 only ... Approximate string matching ... In computer science, approximate string matching (often colloquially referred to as fuzzy string searching) is the technique of ... Apr 14, 2020 ... RangerWorker – Performs Fuzzy match processing (ssan3_match_encoded) and exact string comparisons for exact fields. Threads = number of cleanse ... Oct 7, 2019 ... Best practices when comparing string of text that aren't an exact match that we can use when comparing names in the requests and application.